Professional Certificate Archives

About this course

Want to study for an MBA but unsure of the basic data analysis still required? This online course prepares you for studying in an MBA program and in business generally.

Data analysis appears throughout any rigorous MBA program and in today’s business environment understanding the fundamentals of collecting, presenting, describing and making inferences from data sets is essential for success.

The goal of this course is to teach you fundamental data analysis skills so you are prepared for your MBA study and able to focus your efforts on core MBA curriculum, rather than continually playing catch-up with the underlying statistical knowledge needed.

We also hope that learning these data analysis skills will equip you with the ability to understand, to a greater degree, the data you encounter in your working lives and in the world around you – an essential life-skill in today’s data driven environment

This course assumes no prior knowledge of data analysis. Concepts are explained as clearly as possible and regular activities give you the opportunity to practice your skills and improve your confidence.

What you’ll learn

Presenting and summarising your data
Decision making under uncertainty
Data-based decision making
Modelling for decision making

Syllabus

Topic 1 – Presenting and summarising your data
Topic 2 – Decision making under uncertainty
Topic 3 – Data-based decision making
Topic 4 – Modelling for decision making

Meet your instructors

David Lefevre

David is the Director of the EdTech Lab at Imperial College Business School. He is also the course leader on the Business School’s Pre-study module in Maths. David holds an MSc in Computing Science and a PhD in the field of instructional systems from Imperial College London and, perhaps most importantly, a BSc in Mathematics from the University of East Anglia (UEA). David and his EdTech Lab team launched the Global Online MBA program in 2015 and have received awards along the way including a Gold award at the IMS Learning Impact awards in 2010 and an Effective Practice Award at the Sloan-C Blended Learning Conference in 2011.

Catarina Sismeiro

Dr. Catarina Sismeiro is an Associate Professor at Imperial College Business School where she teaches on the Full-Time and Executive MBA programs. Catarina’s research has been published in The Journal of Marketing Research, Management Science, and The International Journal of Research in Marketing and has won several awards. Previously she was an Assistant Professor at Marshall Business School, University of Southern California. She holds a PhD in Management from the Anderson School, UCLA, and a Licenciatura in Management from Faculdade de Economia do Porto (Portugal).

About MIT horizon

MIT Horizon is an expansive content library built to help you explore emerging technologies. Through easy-to-understand lessons, you’ll be guided through the complexities of the latest technologies and simplified expert-level concepts. Designed for both technical and non-technical learners, you can examine bite-size content that can lead to maximum career outcomes.

For a limited time, gain access to the complete MIT Horizon library.

Register today for exclusive entry.

About this course

Want to know how to avoid bad decisions with data?

Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data! Key concepts like understanding variation, perceiving relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.

These big picture ideas have motivated the development of quantitative models, but in most traditional statistics courses, these concepts get lost behind a wall of little techniques and computations. In this course we keep the focus on the ideas that really matter, and we illustrate them with lively, practical, accessible examples.

We will explore questions like: How are traditional statistical methods still relevant in modern analytics applications? How can we avoid common fallacies and misconceptions when approaching quantitative problems? How do we apply statistical methods in predictive applications? How do we gain a better understanding of customer engagement through analytics?

This course will be is relevant for anyone eager to have a framework for good decision-making. It will be good preparation for students with a bachelor’s degree contemplating graduate study in a business field.

Opportunities in analytics are abundant at the moment. Specific techniques or software packages may be helpful in landing first jobs, but those techniques and packages may soon be replaced by something newer and trendier. Understanding the ways in which quantitative models really work, however, is a management level skill that is unlikely to go out of style.

What you’ll learn

Variability in the real world and implications for decision making
Data types and data quality with appropriate visualizations
Apply data analysis to managerial decisions, especially in start-ups
Making effective decisions from no data to big data (what should we collect and then what do we do with all this data?)

Meet your instructors

Rick Cleary

Professor Rick Cleary is a statistician and mathematician with research and consulting interests in a variety of fields including sports, biomechanics, and statistical approaches to fraud detection and audit risk. Prior to coming to Babson College in 2013, Professor Cleary taught at St. Michael’s College in Vermont, Cornell University, Bentley University, and Harvard University. He has held many leadership positions in the Mathematical Association of America, including six years on the Executive Committee as Associate Treasurer and a term as chair of the Joint Data Committee. He is currently on the Nominations Committee and the Polya lecturer selection committee. Professor Cleary enjoys working with mathematics teachers at all levels to improve statistics education and he gives frequent talks and workshops on ways to encourage statistical thinking.

Nathan Karst

Dr. Nathan Karst received his B.S. in electrical and computer engineering from Franklin W. Olin College of Engineering in 2007 and his doctorate in applied mathematics from Cornell. He is an avid teacher and researcher, having won the Dean’s Award for Excellence in Undergraduate Teaching in 2014 and the Dean’s Award for Excellence in Scholarship in 2015. Most recently, his research has focused on the role of nonlinear dynamics in microvascular networks and event-scale streamflow recession variability.

Davit Khachatryan

Dr. Davit Khachatryan is an Assistant Professor of Statistics and Analytics at Babson College. He is an applied statistician with research interests in analyzing intellectual property data to study the formation and diffusion of knowledge in emerging industries. Davit’s current and former research has produced publications in academic, peer-reviewed journals such as Journal of the Royal Statistical Society (Series C), The American Statistician, IEEE Transactions on Engineering Management (forthcoming), and Quality and Reliability Engineering International. Prior to joining Babson College, Davit was a Senior Associate at the National Economics and Statistics practice of Pricewaterhouse Coopers (PwC). In the latter role he consulted in the area of predictive modeling and advanced data analytics, helping clients from financial, healthcare, and government sectors with building automatic predictive models and enhancing business intelligence solutions. Davit has earned his B.S. in Applied Mathematics and Informatics from Yerevan State University, M.S. in Statistics and Ph.D. in Management Science from the University of Massachusetts, Amherst.

George Recck

Mr. Recck has taught at Babson College since 1984. He currently serves as the Chair of the Business Analytics/Statistics Education special interest group for the American Statistical Association (ASA). Mr. Recck is also the founder of Total Information, Inc., an consulting firm specializing in providing information service to small businesses.

Babak Zafari

†Dr. Zafari is an Assistant Professor of Analytics and Statistics in the Math & Science Division. His area of interests are Predictive Modeling and Data Mining Methods for Business Applications, Bayesian Statistics, Healthcare Fraud Analytics and Online Auctions. Prior to joining Babson College, he was a Visiting Assistant Professor at The George Washington University School of Business teaching courses in Data Analysis and Decisions, Business Analytics and Data Mining. He was also a senior statistician consultant at Integrity Management Services where he was responsible for developing statistical models for fraud detection in Medicare and Medicaid programs. He received his B.S. in Applied Mathematics from Sharif University of Technology, M.S. in Operations Research/Computer Science from Bowling Green State University and Ph.D. in Decision Sciences from The George Washington University School of Business.

About MIT horizon

MIT Horizon is an expansive content library built to help you explore emerging technologies. Through easy-to-understand lessons, you’ll be guided through the complexities of the latest technologies and simplified expert-level concepts. Designed for both technical and non-technical learners, you can examine bite-size content that can lead to maximum career outcomes.

For a limited time, gain access to the complete MIT Horizon library.

Register today for exclusive entry.

About This Course:

Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors.

In this course, part of our Professional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.

You will learn about training data, and how to use a set of data to discover potentially predictive relationships. As you build the movie recommendation system, you will learn how to train algorithms using training data so you can predict the outcome for future datasets. You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.

What You’ll Learn:

The basics of machine learning
How to perform cross-validation to avoid overtraining
Several popular machine learning algorithms
How to build a recommendation system
What is regularization and why it is useful?

Frequently Asked Questions:

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Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

Meet Your Instructor:

Ansaf Salleb-Aouissi

Ansaf is a Lecturer in discipline of the Computer Science Department at the School of Engineering and Applied Science at Columbia University. She received her her BS in Computer Science in 1996 from the University of Science and Technology (USTHB), Algeria. She earned her masters and Ph.D. degrees in Computer Science from the University of Orleans (France) in 1999 and 2003 respectively.

About MIT Horizon:

MIT Horizon is an expansive content library built to help you explore emerging technologies. Through easy-to-understand lessons, you’ll be guided through the complexities of the latest technologies and simplified expert-level concepts. Designed for both technical and non-technical learners, you can examine bite-size content that can lead to maximum career outcomes.

For a limited time, gain access to the complete MIT Horizon library.

Register today for exclusive entry.

Program overview

The power sector is at a critical juncture. We urgently need to reduce the fossil fuel intensity of our power generation mix and, in many countries, power sector reform can bring other benefits, such as improvements in health and economic growth. In this program, leading academics from Imperial College London, alongside NREL and experts from industry, will explain why and how to clean up the power sector in your country, illustrated with current, real-life case studies and practical advice. Key global figures from the public and private sector add their own personal and professional perspectives to this course.

The Clean Power Program includes best-practice power sector reform policies from the perspectives of legislators, policymakers, the energy sector, investors and civil society. The first course will explain the way that clean power fits into a wider set of political priorities, such as health, technology, energy security, economic growth and the environment, in any country or region. In the second course, the policy landscape for the power sector is described in detail, demonstrating how policies can help stimulate the growth of clean power. The third course outlines the challenges and solutions to integrating different types of power sources into one stable, reliable system.

This program will equip you with the knowledge and tools to create a pro-renewables and investor-ready policy environment in your own region. In a world committed to meeting the climate change goals in the Paris Agreement, you will be well-informed to apply solutions in your own context.Established ten years ago as an Institute of Imperial College London, the Grantham Institute is a world-leading authority on climate change and environmental issues. The Grantham Institute will bring industry and public sector experts from around the world to share their practical and recent experience.

What you will learn

How to balance different political priorities to deliver clean power policies
What benefits clean power implementation can bring to different countries around the world and, specifically, what they bring in your context
What makes a successful, renewables-friendly policy environment
How to attract finance for your clean power projects
How to deliver secure and affordable clean power
How to integrate a high volume of variable renewables into a grid successfully

Program Class List

Meet Your Instructors

Jo Haigh

Professor at Imperial College London

Professor Joanna Haigh has been Co-Director of the Grantham Institute at Imperial College since 2014. For the previous five years she was Head of the Department of Physics. Jo's scientific interests include radiative transfer in the atmosphere, climate modelling, radiative forcing of climate change and the influence of solar irradiance variability on climate. She has published widely on these topics in the scientific literature and contributed to numerous items to the written and broadcast popular media. She is a Fellow of the Royal Society and of the Institute of Physics and an Honorary Fellow of Somerville College Oxford. She has been President of the Royal Meteorological Society, Editor of Quarterly Journal of the Royal Meteorological Society and of the Journal of Atmospheric Sciences, a Lead Author on the Intergovernmental Panel on Climate Change and acted on many UK and international panels.

Kris Murray

Dr at Imperial College London

Kris is an ecologist with interests in global change, conservation and health, working on problems where these key themes are interconnected, including: human health - climate, environmental and social change impacts on infectious disease burdens and distributions, disease emergence, zoonoses, biosecurity risks, health economics; and climate change - influence on ecosystems, biodiversity and health risks In particular, Kris focuses on problems that characterise the impacts of global change, that could also be leveraged for mitigating human impacts and promoting better stewardship of the natural world.

Shane Tomlinson

Mr at Imperial College London

Shane Tomlinson, a Director of E3G, leads work on political economy mapping and overseeing the UK programme. He previously served as the Director of Development at E3G working across the organisation on strategy development, fundraising and the creation of systems for change. Prior to joining E3G Shane was a Senior Research Fellow at Chatham House where he published research on the future of the EU Energy Union, Brexit, stranded assets and the future of the international climate regime. He has also worked as a Policy Adviser in the Prime Minister’s Strategy Unit working on energy policy, sustainable consumption and production issues and the design and launch of the Extractives Industry Transparency Initiative (EITI) at the World Summit on Sustainable Development. Shane holds an MPA from the Woodrow Wilson School at Princeton University, an MSc in Economic History from the London School of Economics and a BSc in Economics and Economic History from the University of Bristol.

Richard Green

Professor at Imperial College London

Richard Green has been studying the economics and regulation of the electricity industry for nearly 30 years. The main focus of his recent work has been on the impact of low-carbon generation (nuclear and renewables) and energy storage on the electricity market, and the business and policy implications of this. He has written extensively on market power in wholesale electricity markets and has also worked on transmission pricing. He has been a professor at Imperial College Business School since 2011. He was previously Professor of Energy Economics and Director of the Institute for Energy Research and Policy at the University of Birmingham, and Professor of Economics at the University of Hull. He started his career at the Department of Applied Economics and Fitzwilliam College, Cambridge. He has spent time on secondment to the Office of Electricity Regulation and has held visiting appointments at the World Bank, the University of California Energy Institute and the Massachusetts Institute of Technology.

Clementine Chambon

Dr at Imperial College London

Clementine Chambon is a researcher in renewable energy technologies for rural electrification. Her interests lie in optimising design and delivery models for decentralised energy systems to reach the most energy-deprived communities in the world. Her current project examines biomass gasification and its application for rural electrification in LED countries. This spans topics such as electricity demand estimation, technological performance of biogasifiers, integration with other generation technologies as part of a hybrid system, and analysing their impact in terms of cost and CO2 mitigation potential. The research findings are directly commercialised through Oorja Development Solutions, a mission-driven company active in deploying solar mini-grids and community solar irrigation systems to provide clean energy access to off- and weak-grid communities in rural India.

Jeff Hardy

Dr at Imperial College London

Dr Jeffrey Hardy is a Senior Research Fellow at the Grantham Institute - Climate Change and the Environment at Imperial College London, where he researches energy market transformation, innovative business models. He is also a Non-Executive Director of Public Power Solutions, a wholly-owned company of Swindon Borough Council specialising in renewable power and waste solutions. Previously he was Head of Sustainable Energy Futures at the GB energy regulator, Ofgem and Head of Science for Work Group III of the Intergovernmental Panel on Climate Change. He’s also worked at the Department of Business, Energy and Industrial Strategy, the UK Energy Research Centre, the Royal Society of Chemistry, the Green Chemistry Group at the University of York and at Sellafield as research chemist in a nuclear laboratory.

Ajay Gambhir

Dr at Imperial College London

Ajay Gambhir is a Senior Research Fellow at the Imperial College London Grantham Institute for Climate Change and the Environment. His research addresses how society can transition to a low-carbon economy, considering the technologies and measures required to do so. He uses energy systems models at sub-national, national, regional and global scales to map out potential low-carbon transition pathways, with a particular focus on the processes that drive down low-carbon technology costs, thereby making their deployment more cost-effective. Ajay has been at Imperial College since 2010, during which time he has been the scientific lead on a number of low-carbon pathways studies for the UK government as part of its AVOIDing dangerous climate change programme. He has also led and participated in ESRC and EPSRC studies on manufacturing innovation for the production of low-cost solar PV modules, energy storage innovation, and rural electrification using solar PV and batteries. Currently he is focusing on the political economy of low-carbon pathways and how to design policies to support an equitable transition. Before joining Imperial College, Ajay was the Team Leader for EU and International Climate Change Economics at the UK Government’s Department of Energy and Climate Change. He has also worked in the UK’s Office for Climate Change, as part of the civil service team that prepared the initial draft of the Climate Change Act 2008, the world’s first climate legislation. He has also worked in the UK Committee on Climate Change, which he helped design and set up as part of his work on the Climate Change Act.

About This Course:

Do you want to learn how to design? Using the Delft Design Approach, you will learn how to use a number of key design methods to create meaningful products and services.

This course is an introduction to the Delft Design Approach offering a model and a set of signature methods from Delft to teach you how to get from understanding the user in context to defining a meaningful design challenge and – in the end – deliver a great design! The course challenges you to experience the design process yourself and reflect on your work with the help of students and excellent teaching staff from Delft, and industrial experts.

No previous knowledge of design methods is required, yet some experience with designing (something) is helpful.

This course has been awarded with the 2015 Open Education Award for Excellence in the category ‘Open MOOC’ by the Open Education Consortium.

What You’ll Learn:

How to study users in their own environment;
How to translate user insights into a design challenge that will spark creativity;
How to create a meaningful design to meet your challenge;
How to design and to structure your projects with the support of design thinking, a model and several methods;
How to evaluate and present your design.

Syllabus:

This course is self-paced and structured along 6 steps. Most steps can be done in about a week, except for step 5 which might take two weeks). The course is then structured as follows:

Step 1: Understanding meaning in design
•How do the things around us attain their meaning?
•How and why do we design meaningful things?

Step 2: Understanding the context of use
• How and why do we gain empathic understanding of the users we design for?
• How do we derive insights to inspire the design process?

Step 3: Defining a design challenge
• How do we identify the key design problem when we look at the user’s current situation?
• How do we define a meaningful design challenge that will drive the creative phases of design?

Step 4: Generating ideas
• How do we generate ideas?
• How do we filter promising ideas?

Step 5: Developing concepts (Optional EXTRA: Prototyping Concept)
• What is a design concept and how do we develop a concept?
• What role does sketching have in developing concepts?
• How do we evaluate concepts and decide between them?

Step 6: Testing with user & final presentation (Optional EXTRA: Testing Prototype of Concept)
• How do we test key qualities of a concept?
• How do we present a concept?

Meet Your Instructors:

Annemiek van Boeijen

Annemiek is assistant professor in industrial design and design aesthetics at the Delft University of Technology. She conducts research on the role of culture in design processes. She is co-editor of the Delft Design Guide. She received her MSc. and PhD from Delft University of Technology.

Jaap J.J. Daalhuizen

Jaap was assistant professor at the Delft University of Technology. He now works at the Technical University of Denmark. He conducts research in design methodology and design thinking. He is co-editor of the Delft Design Guide. He received his MSc. and PhD from Delft University of Technology.

Learner testimonials

” The Delft Design course taught me how to fully understand the end-users and their needs and how to meet them through product development.”

Joseph,the Philippines

” The Delft Design course taught me how to fully understand the end-users and their needs and how to meet them through product development.”

Joseph,the Philippines

About this course

In this course, you will learn the principles of C programming and start coding hands-on in a browser tool that will provide instant feedback on your code.

The C programming language is one of the most stable and popular programming languages in the world. It helps to power your smartphone, your car’s navigation system, robots, drones, trains, and almost all electronic devices. C is used in any circumstances where speed and flexibility are important, such as in embedded systems or high-performance computing.

In this course, you will get started with C and learn how to write your first programs, how to make simple computations and print the results to the screen, how to store values in variables and how to repeat instructions using loops.

Beginners, even those without any programming experience, will be able to immediately start coding in C with the help of powerful yet simple coding tools right within the web browser. No need to install anything!

We are excited to introduce you to the world of coding and launch you along your path to becoming a skilled C programmer!

This is the first course in the C Programming with Linux Professional Certificate program. This series of seven short courses will establish your programming skills and unlock doors to careers in computer engineering.

This course has received financial support from the Patrick & Lina Drahi Foundation.

What you’ll learn

Define, distinguish and give examples of hardware/software, computer programs/algorithms
Explain the concept of a variable and declare, initialize and modify variables of data types int, double and char
Create and comment simple C-programs that may print text, special characters and variables to the screen with controlled formatting
Create simple C-programs that utilize for-loops to repeat blocks of instructions

Professional Certificate in C Programming with Linux

Gain skills in computer engineering by learning C and Linux

C Programming: Getting Started

C Programming: Language Foundations

C Programming: Modular Programming and Memory Management

C Programming: Pointers and Memory Management

C Programming: Advanced Data Types

Linux Basics: The Command Line Interface

C Programming: Using Linux Tools and Libraries

7 Courses 1 Year 3 - 4 Hours per week

Complete Program $308.70

Program Details

Meet your instructors

Petra Bonfert-Taylor

Petra Bonfert-Taylor is a Professor and an Instructional Designer at the Thayer School of Engineering at Dartmouth College. She received her Ph.D. in Mathematics from Technical University of Berlin (Germany) in 1996 and subsequently spent three years as a postdoctoral fellow at the University of Michigan before accepting a tenure-track position in the Mathematics Department at Wesleyan University. She left Wesleyan as a tenured full professor in 2015 for her current position at Dartmouth College. Petra has published extensively and lectured widely to national and international audiences. Her work has been recognized by the National Science Foundation with numerous research grants. She is equally passionate about her teaching.The recipient of the Binswanger Prize for Excellence in Teaching at Wesleyan University, the Excellence in Teaching Award at the Thayer School of Engineering and the NH High Tech Council Tech Teacher of the Year Award, Petra has a strong interest in broadening access to high-quality higher education and pedagogical innovations that aid in providing equal opportunities to students from all backgrounds.

Rémi Sharrock

Rémi Sharrock is an associate professor at Telecom ParisTech, IMT, France. He received his Ph.D. in Computer Science from the National Polytechnic Institute of Toulouse, France in 2010. Rémi’s main research focuses on large scale distributed systems and autonomic computing, as well as their applications to learning at scale. He’s passionate about innovative tools for online learning and has received the “MOOC of the year prize” for two of his french courses on C programming and Linux.

About This Course:

Learn about Lean Management, a customer-centric methodology that improves processes by eliminating waste and focusing on value-added tasks.

This course will introduce the main tenets of the Toyota Production System, which includes Just-in-Time manufacturing, quality management tools, and the critical concept of Kaizen, the Japanese practice of continuous improvement. You will also learn about the key organization and managerial approaches that are used in Lean.

You will learn how to analyze process flows in order to establish process capacity and identify the process bottleneck. You will then calculate resource utilization and cycle time to evaluate the impact of set up times, batching, defects and reworks on key process performance measures, including inventory, flow rate and flow time.

We will also discuss the impact of key concepts of Lean, including Heijunka, Kanban, Jidoka, Andon, Poka Yoke, and 5S, which help achieve increased productivity and quality.

Upon successful completion of this program, learners will earn the TUM Lean and Six Sigma Yellow Belt certification, confirming mastery of Lean Six Sigma fundamentals to a Green Belt level. The material is based on the American Society for Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.

What You’ll Learn:

The history and background of Lean production and the complementing elements of quantity and quality control.
To measure production performance and how defects and waste degrade performance.
To understand the importance and role in Lean Production of the customer “Takt.”
To improve process performance through the application of Lean principles, including setup time reduction, batch optimization, and defect elimination.
To explain the importance of Total Productive Maintenance and the widely-used metric Overall Equipment Effectiveness.
To understand the difference between push- and pull-systems and how the implementation of pull-systems reduces waste.
To apply elements of Lean production including Heijunka, Kanban, Jidoka, and Poka Yoke.
To apply the 5S methodology for establishing and sustaining a productive work environment.

Professional Certificate in Lean Six Sigma Yellow Belt: Quantitative Tools for Quality and Productivity

Earn a TUM Lean Six Sigma Yellow Belt certificate

Six Sigma: Define and Measure

Six Sigma: Analyze, Improve, Control

Lean Production

3 Courses 6 Months 3 - 4 Hours per week

Complete Program $264.03

Program Details

Frequently Asked Questions:

Who offers this program?
The Professional Certificate ProgramSix Sigma and Lean: Quantitative Tools for Quality and Productivity is offered by edX and the Technical University of Munich (TUM).

How many courses are in the program?
There are three courses in this program:
Course1 QPLS1x – Six Sigma: Define and Measure
Course2 QPLS2x – Six Sigma: Analyze, Improve, Control
Course3 QPLS3x – Lean Production

Do I need to take the courses in order?
The courses should be completed sequentially, but it is not required that they are completed in any particular order. However, as Course2 QPLS2x – Six Sigma: Analyze, Improve, Control builds on the material in Course1 QPLS1x – Six Sigma: Define and Measure, we strongly recommend that you take QPLS1x before you take QPLS2x.

Which certification do I earn for this course?
You will earn the Verified Certificate forCourse3 QPLS3x – Lean Production.

What certificates do I earn with this program?
Upon successful completion of this program, learners will earn both theedX Professional Certificate for the program and the TUM Lean Six Sigma Yellow Belt certification. In order to achieve the TUM Lean Six Sigma Yellow Belt Certification it is mandatory to complete all 3 courses in the program and achieve a Verified Certificate in each. Then, automatically, you will earn the edX Professional Certificate and the TUM Lean Six Sigma Yellow Belt certification.
The TUM LSSYB is based on the American Society for Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.

What is the passing grade for the course?
An overall average for all homework sets and peer-review assignments of 70% is required to pass the course.

Do I need to achieve 70% on each homework?
No, you need an average grade for all homework sets and peer-review assignments of 70%. This means you can do poorly or miss a homework set as long as you do well enough on other homework sets to achieve 70% overall.

How do I receive the edX Professional Certificate for this program?
The Professional Certificate will be available from your dashboard after the end of the course.

How do I receive the TUM Lean SixSigma Yellow Belt Certification for this program?
If you have earned the Verified Certificate for all three courses in the program, then you will receive the edX Professional Certificate and the TUM Lean Six Sigma Yellow Belt. These will be sent to you by email.
— For those finishing all courses by October 31, you will receive your certificate before November 31.
— For those finishing all courses by February 28, you will receive your certificate before March 31.
— For those finishing all courses by June 30, you will receive your certificate before July 31.

When you have passed all three courses with a verified certificate and received the edX Professional Certificate, you can also include in your CV that you have achieved the TUM Lean Six Sigma Yellow Belt, TUMLSSYB.

Meet Your Instructors:

Martin Grunow

Martin Grunow is a professor of production and supply chain management at Technische Universität München and an adjunct professor at Technical University Denmark, where he previously held a professorship in Operations Management. Earlier, he worked at Technical University Berlin and in the R&D department of Degussa, a multinational company producing special chemicals. His research interests are in production and logistics management with a focus on the process, electronics and automotive industries. He has coauthored more than 100 publications amongst others in International Journal of Production Economics, International Journal of Production Research, European Journal of Operational Research, CIRP Annals, Flexible Services and Manufacturing Journal, and OR Spectrum. For the latter two journals, he also acts as an editor. Martin Grunow has been on the program committee and track organizer of more than 30 international conferences and is an associate member of The International Academy of Production Engineering.

Holly Ott

Holly Ott is a professor of Production Management and IT Systems at the University of Rosenheim Applied Sciences and Management, a senior lecturer at the Technical University of Munich and an adjunct professor at Singapore Management University (Singapore), IE Business School (Madrid) and Syracuse University (New York). She holds a Ph.D. in electrical engineering from the University of Virginia and has worked for twelve years in quality and supply chain management in the USA, Europe and Asia for Siemens, Motorola, IBM and Infineon. Her work has been in the areas of device simulation, electrical and reliability testing, and quality and supply chain management. She holds a International Association for Six Sigma Certification (IASSC) Certified Lean Six Sigma Green Belt (ICGB) and is a member of the American Society for Quality (asq.org). Holly is the program chair for the Singapore Semiconductor Industry Association's Supply Chain Forum and academic director of the TUM Case Centre.

Learner Testimonials

“One of the best MOOC on Lean production that you can find online. Whether you are a novice or an expert, this course gives you the concise content that is required to understand lean. The course is well structured, perfectly presented with case studies, examples, math problems, discussion forum, guest lectures given by prominent faculty members from reputed universities around the world. The best things about the course are the faculty members & the participants, who bring in rich diverse experience either educationally or professionally or both. I would recommend this course as well as other courses that are part of TUM’s Professional Certificate Program to those who want to learn or brush up their skills in six sigma and lean. Thank You Mr.Martin, Mrs. Holly, Mr. Reiner, Mr.Zubair and the entire support team. Take a bow!”

-- Murali Dhepalli

“At the beginning I took this course just to show current or future employers my experience in this topic and didn’t expect anything so new for me as it’s my filed of work as a manager in continuous improvement. But as the course commenced, I have learnt more and more details that I could already implement in day to day work. I really enjoyed this course and it’s sure that i will enroll in the additional ones in this TUMx professional program. Prof. Holly Ott and her team managed to develop a great MOOC that is fun and horizon expanding. Prof. Ott is a frequent follower (and responder) of forum discussions which encourages everyone to exchange experiences. Not to forget the emails you get during the course with great pointers to real world problems. All in all, I can recommend this MOOC a lot to anyone who is even remote interested in lean and production management.”

-- Christian Kahl

“This course is the last one in Six Sigma – Lean production offered by TUM on EdX. First thing : while it’s been said that this course can be taken as stand alone, I really think it is best to take first the 2 other courses on Six Sigma, at least if you are a novice in quality management. The course itself is really great. It covers a lot of subject and it is a good help for any manager having to deal with productivity issues, not only in manufacturing but also in service industry. The instructors are very good, they know their subject and can easily pass their knowledge to the student through the lectures. One of the best thing for me was to see the theory applied to real life examples (you’ll see that Professor Holly is really into skateboarding!). Bottom line, I recommend this course!”

-- Etienne Pavajot

“Dear TUM, I am grateful to be one of you MOOC’S student. Really, it helps me a lot specially when I took my ASQ CSSYB and CQIA. It’s almost a year now since I started this professional certificate program and I am happy to inform you that I completed all of 3 verified certificates. Although, I am working as Nurse but I know that some of those concept’s are applicable or can be applied in healthcare setting. Thank Professor Holy and Other’s TUM faculty for your great effort that boosted my passion in Quality field. Regards, Manuel”

-- Manuel

“One of the best MOOC on Lean production that you can find online. Whether you are a novice or an expert, this course gives you the concise content that is required to understand lean. The course is well structured, perfectly presented with case studies, examples, math problems, discussion forum, guest lectures given by prominent faculty members from reputed universities around the world. The best things about the course are the faculty members & the participants, who bring in rich diverse experience either educationally or professionally or both. I would recommend this course as well as other courses that are part of TUM’s Professional Certificate Program to those who want to learn or brush up their skills in six sigma and lean. Thank You Mr.Martin, Mrs. Holly, Mr. Reiner, Mr.Zubair and the entire support team. Take a bow!”

-- Murali Dhepalli

“At the beginning I took this course just to show current or future employers my experience in this topic and didn’t expect anything so new for me as it’s my filed of work as a manager in continuous improvement. But as the course commenced, I have learnt more and more details that I could already implement in day to day work. I really enjoyed this course and it’s sure that i will enroll in the additional ones in this TUMx professional program. Prof. Holly Ott and her team managed to develop a great MOOC that is fun and horizon expanding. Prof. Ott is a frequent follower (and responder) of forum discussions which encourages everyone to exchange experiences. Not to forget the emails you get during the course with great pointers to real world problems. All in all, I can recommend this MOOC a lot to anyone who is even remote interested in lean and production management.”

-- Christian Kahl

“This course is the last one in Six Sigma – Lean production offered by TUM on EdX. First thing : while it’s been said that this course can be taken as stand alone, I really think it is best to take first the 2 other courses on Six Sigma, at least if you are a novice in quality management. The course itself is really great. It covers a lot of subject and it is a good help for any manager having to deal with productivity issues, not only in manufacturing but also in service industry. The instructors are very good, they know their subject and can easily pass their knowledge to the student through the lectures. One of the best thing for me was to see the theory applied to real life examples (you’ll see that Professor Holly is really into skateboarding!). Bottom line, I recommend this course!”

-- Etienne Pavajot

“Dear TUM, I am grateful to be one of you MOOC’S student. Really, it helps me a lot specially when I took my ASQ CSSYB and CQIA. It’s almost a year now since I started this professional certificate program and I am happy to inform you that I completed all of 3 verified certificates. Although, I am working as Nurse but I know that some of those concept’s are applicable or can be applied in healthcare setting. Thank Professor Holy and Other’s TUM faculty for your great effort that boosted my passion in Quality field. Regards, Manuel”

-- Manuel

About This Course:

Learn how to statistically analyze data with the Six Sigma methodology using inferential statistical techniques to determine confidence intervals and to test hypotheses based on sample data. You will also review cause and effect techniques for root cause analysis.

You will learn how to perform correlation and regression analyses in order to confirm the root cause and understand how to improve your process and plan designed experiments.

You will learn how to implement statistical process control using control charts and quality management tools, including the 8 Disciplines and the 5 Whys to reduce risk and manage process deviations.

To complement the lectures, learners are provided with interactive exercises, which allow learners to see the statistics “in action.” Learners then master statistical concepts by completing practice problems. These are then reinforced using interactive case studies, which illustrate the application of the statistics in quality improvement situations.

Upon successful completion of this program, learners will earn the TUM Lean and Six Sigma Yellow Belt certification, confirming mastery of Lean Six Sigma fundamentals to a Green Belt level. The material is based on the American Society for Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.

What You’ll Learn:

To identify process problems and perform a root cause analysis using cause and effect diagrams and regression analysis.
To analyze data using inferential statistical techniques, including confidence intervals and hypothesis testing.
To test and quantitatively assess the impact of different improvement options using the design of an experiment.
To test for the significance of effects using an Analysis of Variance.
To implement control mechanisms for long-term monitoring using control charts for both quantitative and qualitative measurements.
To apply the Six Sigma methodology for the Analyze, Improve and Control phases in your work or research.

Professional Certificate in Lean Six Sigma Yellow Belt: Quantitative Tools for Quality and Productivity

Earn a TUM Lean Six Sigma Yellow Belt certificate

Six Sigma: Define and Measure

Six Sigma: Analyze, Improve, Control

Lean Production

3 Courses 6 Months 3 - 4 Hours per week

Complete Program $264.03

Program Details

Frequently Asked Questions:

Who offers this program?
The Professional Certificate Program Six Sigma and Lean: Quantitative Tools for Quality and Productivity is offered by edX and the Technical University of Munich (TUM).

How many courses are in the program?
There are three courses in this program:
Course1 QPLS1x – Six Sigma: Define and Measure
Course2 QPLS2x – Six Sigma: Analyze, Improve, Control
Course3 QPLS3x – Lean Production

Do I need to take the courses in order?
The courses should be completed sequen tially, but it is not required that they are completed in any particular order. However, as Course2 QPLS2x – Six Sigma: Analyze, Improve, Control builds on the material in Course1 QPLS1x – Six Sigma: Define and Measure, we strongly recommend that you take QPLS1x before you take QPLS2x.

Which certification do I earn for this course?
You will earn the Verified Certificate forCourse2 QPLS2x – Six Sigma: Analyze, Improve, Control.

What certificates do I earn with this program?
Upon successful completion of this program, learners will earn both the edX Professional Certificate for the program and the TUM Lean Six Sigma Yellow Belt certification. In order to achieve the TUM Lean Six Sigma Yellow Belt Certification it is mandatory to complete all 3 courses in the program and achieve a Verified Certificate in each. Then, automatically, you will earn the edX Professional Certificate and the TUM Lean Six Sigma Yellow Belt certification.
The TUM LSSYB is based on the American Society for Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.

What is the passing grade for the course?
An overall average for all homework sets and peer-review assignments of 70% is required to pass the course.

Do I need to achieve 70% on each homework?
No, you need an average grade for all homework sets and peer-review assignments of 70%. This means you can do poorly or miss a homework set as long as you do well enough on other homework sets to achieve 70% overall.

How do I receive the edX Professional Certificate for this program?
The Professional Certificate will be available from your dashboard after the end of the course.

How do I receive the TUM Lean SixSigma Yellow Belt Certification for this program?
If you have earned the Verified Certificate for all three courses in the program, then you will receive the edX Professional Certificate and the TUM Lean Six Sigma Yellow Belt. These will be sent to you by email.
— For those finishing all courses by October 31, you will receive your certificate before November 31.
— For those finishing all courses by February 28, you will receive your certificate before March 31.
— For those finishing all courses by June 30, you will receive your certificate before July 31.

When you have passed all three courses with a verified certificate and received the edX Professional Certificate, you can also include in your CV that you have achieved the TUM Lean Six Sigma Yellow Belt, TUMLSSYB .

Meet Your Instructors:

Martin Grunow

Martin Grunow is a professor of production and supply chain management at Technische Universität München and an adjunct professor at Technical University Denmark, where he previously held a professorship in Operations Management. Earlier, he worked at Technical University Berlin and in the R&D department of Degussa, a multinational company producing special chemicals. His research interests are in production and logistics management with a focus on the process, electronics and automotive industries. He has coauthored more than 100 publications amongst others in International Journal of Production Economics, International Journal of Production Research, European Journal of Operational Research, CIRP Annals, Flexible Services and Manufacturing Journal, and OR Spectrum. For the latter two journals, he also acts as an editor. Martin Grunow has been on the program committee and track organizer of more than 30 international conferences and is an associate member of The International Academy of Production Engineering.

Holly Ott

Holly Ott is a professor of Production Management and IT Systems at the University of Rosenheim Applied Sciences and Management, a senior lecturer at the Technical University of Munich and an adjunct professor at Singapore Management University (Singapore), IE Business School (Madrid) and Syracuse University (New York). She holds a Ph.D. in electrical engineering from the University of Virginia and has worked for twelve years in quality and supply chain management in the USA, Europe and Asia for Siemens, Motorola, IBM and Infineon. Her work has been in the areas of device simulation, electrical and reliability testing, and quality and supply chain management. She holds a International Association for Six Sigma Certification (IASSC) Certified Lean Six Sigma Green Belt (ICGB) and is a member of the American Society for Quality (asq.org). Holly is the program chair for the Singapore Semiconductor Industry Association's Supply Chain Forum and academic director of the TUM Case Centre.

Learner Testimonials

“I did not have any prior knowledge of Quality Management but have always known the value, importance, and job demand related to this topic. I am very glad that i enrolled for this course, although i have to put little extra efforts and time to understand the material but i am very thankful to Dr. Holly Ott for her special teaching skills to explain every topic in a simple way and with practical examples. I also appreciate the guest speakers and their expertise in the subject. I plan to complete all the three courses of this certificate program as soon as i can. I am into my very first course and within couple of weeks i was motivated to look into CSSGB (Certified Six Sigma Green Belt), as I know CSSGB is going to be very useful for professional advancement. I believe if i understand these three Quality Management courses my foundation to study for CSSGB with be solid. My Humble Gratitude to the entire MOOC team and EdX team and many more who are behind the scene to provide us best education from the top most educational institutes.”

--Asha Grover

“This is my second time around using statistics. In Define and Measure I was able to learn how to apply statistics to define problems in in factories and industries. And the ability to measure the results to start an improvement process. I love the instructors who lectured the course. They all have such a breadth of knowledge. My goal after completing this series is to get certified through ASQ to get my Green Belt. I feel confident that this series will lead to that goal.”

--Previous student

“If you are new to Six Sigma like me, this course will greatly expand your skills and knowledge. The course includes many examples, practical exercises, real life case studies, and guest lecturers. These help to reinforce concepts, apply the math, and master the topics.”

--David Rozene

“One of the best online course for 6 sigma. This course has helped me professionally as well as personally, whether taking a decision or solving a problem raised. Very well-articulated, elaborately explained with proper usage of tools and most importantly usage of formulae & examples for numerical problem solving. Discussion forum to share and learn from your peers and getting your doubts clearly by the staff, who promptly reply to every query posted. Thank you everyone who structured this course as is and my best wishes for your future endeavors.”

--Murali Dhepalli

“I did not have any prior knowledge of Quality Management but have always known the value, importance, and job demand related to this topic. I am very glad that i enrolled for this course, although i have to put little extra efforts and time to understand the material but i am very thankful to Dr. Holly Ott for her special teaching skills to explain every topic in a simple way and with practical examples. I also appreciate the guest speakers and their expertise in the subject. I plan to complete all the three courses of this certificate program as soon as i can. I am into my very first course and within couple of weeks i was motivated to look into CSSGB (Certified Six Sigma Green Belt), as I know CSSGB is going to be very useful for professional advancement. I believe if i understand these three Quality Management courses my foundation to study for CSSGB with be solid. My Humble Gratitude to the entire MOOC team and EdX team and many more who are behind the scene to provide us best education from the top most educational institutes.”

--Asha Grover

“This is my second time around using statistics. In Define and Measure I was able to learn how to apply statistics to define problems in in factories and industries. And the ability to measure the results to start an improvement process. I love the instructors who lectured the course. They all have such a breadth of knowledge. My goal after completing this series is to get certified through ASQ to get my Green Belt. I feel confident that this series will lead to that goal.”

--Previous student

“If you are new to Six Sigma like me, this course will greatly expand your skills and knowledge. The course includes many examples, practical exercises, real life case studies, and guest lecturers. These help to reinforce concepts, apply the math, and master the topics.”

--David Rozene

“One of the best online course for 6 sigma. This course has helped me professionally as well as personally, whether taking a decision or solving a problem raised. Very well-articulated, elaborately explained with proper usage of tools and most importantly usage of formulae & examples for numerical problem solving. Discussion forum to share and learn from your peers and getting your doubts clearly by the staff, who promptly reply to every query posted. Thank you everyone who structured this course as is and my best wishes for your future endeavors.”

--Murali Dhepalli

About This Course:

Understand the background and meaning of Six Sigma and the five steps of the DMAIC process improvement flow: Define, Measure, Analyze, Improve and Control. Discuss what “Quality” means and how to identify the Voice of the Customer.
You will learn how to set an improvement project goal, calculate process yield, and identify Critical-to-Quality parameters.

You will learn how to map a process and to use the necessary statistical techniques to establish the baseline performance of a process and to calculate the process capability.

To complement the lectures, we provide interactive exercises, which allow learners to see the statistics “in action.” Learners then master the statistical concepts by completing practice problems. These are then reinforced using interactive case studies, which illustrate the application of the statistics in quality improvement situations.

Upon successful completion of this program, learners will earn the TUM Lean and Six Sigma Yellow Belt certification, confirming mastery of Lean Six Sigma fundamentals to a Green Belt level. The material is based on the American Society for Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.

What You’ll Learn:

To understand the background and meaning of the Six Sigma methodology and the role of the DMAIC process improvement cycle.
To identify the Voice of the Customer and translate into Critical-to-Quality parameters.
To understand the concept of random variables, probability mass functions, and probability density functions.
To calculate probabilities using the Normal distribution.
To understand how the Central Limit Theorem applies to sampling and how to set up sampling plans.
To understand the importance of a Measurement System Analysis in a Six Sigma project.
To calculate Process Yield and Process Capability.
To perform a risk assessment using a Failure Modes and Effects Analysis.
How to apply the Define and Measure phases of the DMAIC cycle in your work or research, in order to identify problems and quantitatively assess the impact of process changes using statistical analysis.

Professional Certificate in Lean Six Sigma Yellow Belt: Quantitative Tools for Quality and Productivity

Earn a TUM Lean Six Sigma Yellow Belt certificate

Six Sigma: Define and Measure

Six Sigma: Analyze, Improve, Control

Lean Production

3 Courses 6 Months 3 - 4 Hours per week

Complete Program $264.03

Program Details

Frequently Asked Questions:

Who offers this program?
The Professional Certificate Program Six Sigma and Lean: Quantitative Tools for Quality and Productivity is offered by edX and the Technical University of Munich (TUM).

How many courses are in the program?
There are three courses in this program:
Course1 QPLS1x – Six Sigma: Define and Measure
Course2 QPLS2x – Six Sigma: Analyze, Improve, Control
Course3 QPLS3x – Lean Production

Do I need to take the courses in order?
The courses should be completed sequentially, but it is not required that they are completed in any particular order. However, as Course2 QPLS2x – Six Sigma: Analyze, Improve, Control builds on the material in Course1 QPLS1x – Six Sigma: Define and Measure , we strongly recommend that you take QPLS1x before you take QPLS2x.

Which certification do I earn for this course?
You will earn the Verified Certificate for Course1 QPLS1x – Six Sigma: Define and Measure.

What certificates do I earn with this program?
Upon successful completion of this program, learners will earn both the edX Professional Certificate for the program and the TUM Lean Six Sigma Yellow Belt certification. In order to achieve the TUM Lean Six Sigma Yellow Belt Certification it is mandatory to complete all 3 courses in the program and achieve a Verified Certificate in each. Then, automatically, you will earn the edX Professional Certificate and the TUM Lean Six Sigma Yellow Belt certification.
The TUM LSSYB is based on the American Society for Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.

What is the passing grade for the course?
An overall average for all homework sets and peer-review assignments of 70% is required to pass the course.

Do I need to achieve 70% on each homework?
No, you need an average grade for all homework sets and peer-review assignments of 70%. This means you can do poorly or miss a homework set as long as you do well enough on other homework sets to achieve 70% overall.

How do I receive the edX Professional Certificate for this program?
The Professional Certificate will be available from your dashboard after the end of the course.

How do I receive the TUM Lean SixSigma Yellow Belt Certification for this program?
If you have earned the Verified Certificate for all three courses in the program, then you will receive the edX Professional Certificate and the TUM Lean Six Sigma Yellow Belt. These will be sent to you by email.
— For those finishing all courses by October 31, you will receive your certificate before November 31.
— For those finishing all courses by February 28, you will receive your certificate before March 31.
— For those finishing all courses by June 30, you will receive your certificate before July 31.

When you have passed all three courses with a verified certificate and received the edX Professional Certificate, you can also include in your CV that you have achieved the TUM Lean Six Sigma Yellow Belt, TUMLSSYB.

Meet Your Instructors:

Martin Grunow

Martin Grunow is a professor of production and supply chain management at Technische Universität München and an adjunct professor at Technical University Denmark, where he previously held a professorship in Operations Management. Earlier, he worked at Technical University Berlin and in the R&D department of Degussa, a multinational company producing special chemicals. His research interests are in production and logistics management with a focus on the process, electronics and automotive industries. He has coauthored more than 100 publications amongst others in International Journal of Production Economics, International Journal of Production Research, European Journal of Operational Research, CIRP Annals, Flexible Services and Manufacturing Journal, and OR Spectrum. For the latter two journals, he also acts as an editor. Martin Grunow has been on the program committee and track organizer of more than 30 international conferences and is an associate member of The International Academy of Production Engineering.

Holly Ott

Holly Ott is a professor of Production Management and IT Systems at the University of Rosenheim Applied Sciences and Management, a senior lecturer at the Technical University of Munich and an adjunct professor at Singapore Management University (Singapore), IE Business School (Madrid) and Syracuse University (New York). She holds a Ph.D. in electrical engineering from the University of Virginia and has worked for twelve years in quality and supply chain management in the USA, Europe and Asia for Siemens, Motorola, IBM and Infineon. Her work has been in the areas of device simulation, electrical and reliability testing, and quality and supply chain management. She holds a International Association for Six Sigma Certification (IASSC) Certified Lean Six Sigma Green Belt (ICGB) and is a member of the American Society for Quality (asq.org). Holly is the program chair for the Singapore Semiconductor Industry Association's Supply Chain Forum and academic director of the TUM Case Centre.

Learner Testimonials

“It is very fulfilling experience to complete the requirements of this course. The new knowledge I gained from the three courses are awesome. This course really like a brick and mortar learning from the start and exceeded my expectations and I am sure other learners also will agree with me. I am a Civil Engineer in construction industry taking up my MBA and this course gave me interest even more on quality that I can apply in our industry. Congratulation team!!! Job well done 😉 Can’t wait to finish the last week (I just passed the whole course few minutes ago 😉 ) …waiting for professional certificate. Thank you.”

- Mark Anthony Santiago

“This is my second time around using statistics. In Define and Measure I was able to learn how to apply statistics to define problems in factories and industries. And the ability to measure the results to start an improvement process. I love the instructors who lectured the course. They all have such a breadth of knowledge. My goal after completing this series is to get certified through ASQ to get my Green Belt. I feel confident that this series will lead to that goal.”

--Previous student

“Before I started, I was worrying the concepts and calculations it might have, for being away from school for so many years. But it turns out very easy to gasp, Prof. Holly explains in very detailed and I have no problem in understanding it. The course is very useful for a start to a systematical quality management tool. The crews are wonderful and very helpful. I love this course and have signed up for the 2nd phrase.”

--Kee Tsui

“I found extremely useful each part of this course from the begining to the end. I am Industrial Engineer working as Process Engineer for a Medical Devices manufactuirng company and we are looking forward to start with process improvement and scrap reduction projects since the delivery (PvsA) is somehow undercontrol. I’m working in three projects to reduce the scrap on my production lines and definetly I’m going to use most of the tools presented here. Great work Holly and all the team. I’m very excited to start the second course.”

— student

“Hello! My name is Luiz Fernandes and I´m from Brazil. I´m just here to say some words about this course. It was the best course I have had first of all, because is really difficult to get a course like this (not just define and measure, but all six sigma series). The price is Brazil is expensive and the quality, I think is not as good like at Technische Universität München. I had amazing teacher like Prof. Dr. Holly Ott and I can say that this course will help me a lot. I lived in a countryside, here is hard to get a good education and I belive an opportunity like this, to take an incredible course, taught by amazing professionals is something worthwhile. The content is relevant and open your eyes to how importante is quality in our world. I´m a Mechatronics technician, trying to improve myself in a poor place and I know I can do it through a good education and get a new job. I know this course was essential in this way, in my way. Thank you.”

—Luiz Fernandez

“It is very fulfilling experience to complete the requirements of this course. The new knowledge I gained from the three courses are awesome. This course really like a brick and mortar learning from the start and exceeded my expectations and I am sure other learners also will agree with me. I am a Civil Engineer in construction industry taking up my MBA and this course gave me interest even more on quality that I can apply in our industry. Congratulation team!!! Job well done 😉 Can’t wait to finish the last week (I just passed the whole course few minutes ago 😉 ) …waiting for professional certificate. Thank you.”

- Mark Anthony Santiago

“This is my second time around using statistics. In Define and Measure I was able to learn how to apply statistics to define problems in factories and industries. And the ability to measure the results to start an improvement process. I love the instructors who lectured the course. They all have such a breadth of knowledge. My goal after completing this series is to get certified through ASQ to get my Green Belt. I feel confident that this series will lead to that goal.”

--Previous student

“Before I started, I was worrying the concepts and calculations it might have, for being away from school for so many years. But it turns out very easy to gasp, Prof. Holly explains in very detailed and I have no problem in understanding it. The course is very useful for a start to a systematical quality management tool. The crews are wonderful and very helpful. I love this course and have signed up for the 2nd phrase.”

--Kee Tsui

“I found extremely useful each part of this course from the begining to the end. I am Industrial Engineer working as Process Engineer for a Medical Devices manufactuirng company and we are looking forward to start with process improvement and scrap reduction projects since the delivery (PvsA) is somehow undercontrol. I’m working in three projects to reduce the scrap on my production lines and definetly I’m going to use most of the tools presented here. Great work Holly and all the team. I’m very excited to start the second course.”

— student

“Hello! My name is Luiz Fernandes and I´m from Brazil. I´m just here to say some words about this course. It was the best course I have had first of all, because is really difficult to get a course like this (not just define and measure, but all six sigma series). The price is Brazil is expensive and the quality, I think is not as good like at Technische Universität München. I had amazing teacher like Prof. Dr. Holly Ott and I can say that this course will help me a lot. I lived in a countryside, here is hard to get a good education and I belive an opportunity like this, to take an incredible course, taught by amazing professionals is something worthwhile. The content is relevant and open your eyes to how importante is quality in our world. I´m a Mechatronics technician, trying to improve myself in a poor place and I know I can do it through a good education and get a new job. I know this course was essential in this way, in my way. Thank you.”

—Luiz Fernandez

About this course

Many roles in a variety industries require blockchain technology skills to increase efficiency and solve business problems associated with data privacy, security, information sharing, and inclusion. Enhance your empoyability or excel in your current role while learning about these game-changing technologies.

The first segment of this course covers all the main concepts of what Blockchain is. It discusses how it began as a triple ledger system first introduced for the administration of the cryptocurrency Bitcoin, and how it is now applied to all aspects of business including government, banking, supply chains, and a host of other industries.

It also analyzes the concept of transparent ledgers, both public and permissioned, and focuses on using cryptography to achieve consensus, immutability, and governance of transactions. This is all part of Blockchain’s ability to provide “trusted data from untrusted sources,” disrupting traditional accounting methodologies and international trade.

The course then dives into the various methods of blockchain governance that currently exist in the marketplace as well as how consensus fits into governance. It explores how to reach consensus through proof-of-work or proof-of-stake.

Other aspects of the course include examining the very specific features of blockchain that solve problems that have been difficult to overcome in the past with more centralized architectures.

The final part of the course takes a deep dive into the various use cases of blockchain, complete with analyzing real examples of how different industries are executing the technology and improving their business. Examining a problem, and then depicting a blockchain use case that solves the problem, will help gain an understanding of how blockchain is applied to real-world situations.

What you’ll learn

What a blockchain is
Blockchain impact and potential for change around the world
Understand how blockchain is applied to all aspects of business
Demonstrate some of the immediate blockchain use cases in technology, business, and enterprise products and institutions

Professional Certificate in Blockchain for Business

Blockchain technologies are changing industries

Blockchain: Understanding Its Uses and Implications

Introduction to Hyperledger Blockchain Technologies

2 Courses 7 months 3 - 4 hours per week

Complete Program $358.20

Program Details

Meet Your Instructors

Ernesto Lee

CTO at Blockchain Training Alliance

Ernesto is CTO of Blockchain Training Alliance. He has extensive knowledge in developing content and providing training in Blockchain. His skills include building Hyperledger Chaincode for developer courses and building Solidity-based Smart Contracts for Ethereum networks. Ernesto also has 20 years of extensive experience with various aspects of computer programming, analysis, development, implementation, testing, maintenance, and support. Extensive experience with client/server architectures, data communication, GUI applications design and development in Java on WebLogic Server, WebCenter Portal, Apache Spark, Apache Hive and Apache HBase.

Kris Bennett

Senior Instructor at Blockchain Training Alliance

Kris is a Senior Instructor at Blockchain Training Alliance. He has delivered Blockchain training worldwide, bringing this emerging technology to different markets. Kris has developed high quality course content ensuring the instructional material is comprehensive and relatable to real-world solutions. His skills include developing an Architecture training course and contributing his expertise to a certification exam. Kris also has a 20-year background in custom software design, delivery, and consulting.

Rosa Santos

Director of Education at Blockchain Training Alliance

Rosa is the Director of Education at Blockchain Training Alliance. She serves as a primary resource on all Blockchain training and education for the company. Rosa manages and integrates the educational team’s efforts to provide high quality education standards. This is essentially done by implementing, developing and maintaining the full cycle of all training and education materials and learning platforms. Rosa also has a 10-year background in Journalism.