Develop the skills necessary to create structured database environments using a relational database management system (RDBMS), such as MySQL, that incorporates basic processing functionality and allows for data management, data manipulation and data analysis. Learn about types of data and types of databases to store data, as well as design for scalability. You’ll also learn to prepare digital data storage using the relational model, including resolving integrity constraints, and proper assignments of primary and foreign keys. In addition, you’ll construct and analyze queries to address data requirements.

Structured Database Environments with SQL
Meet Your Instructors:

Scott Overmyer

Ben Tasker
This course helps prepare you for positions that require the analysis of large data sets, providing the statistics foundation you’ll need for data analysis.
You’ll learn how to model real-world applications using statistical methods. You’ll also gain skills to set up those applications in statistical frameworks, solve the statistical problems using technology and apply those results to answer real business questions. By leveraging the pandas and matplotlib python libraries, you’ll gain exposure to tools used in data analysis, visualization, and data science.

MicroBachelors® Program in Business Analytics Foundations
Solve real business problems with scripting and statistics
Meet Your Instructors:

Ben Tasker

David Sze
The Python programming language is extremely powerful and commonly used to automate time-intensive activities/tasks for users. This makes Python a good skill to have for any job that requires automation to replace data in a file, rename multiple file names, update Excel spreadsheets or mine data from web pages. Python can be used as a steppingstone to enter some of the most exciting industries including data science, artificial intelligence, machine learning, software or full-stack development.

MicroBachelors® Program in Business Analytics Foundations
Solve real business problems with scripting and statistics
Meet Your Instructors:

Gwen Britton

Curtis George
Meet your instructors

David Lefevre

Catarina Sismeiro
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.
Meet your instructors

Rick Cleary

Nathan Karst

Davit Khachatryan

George Recck

Babak Zafari
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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Please read the edX Privacy Policy for more information regarding the processing, transmission, and use of data collected through the edX platform.
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Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.
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
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.
Course Overview:
Virtually all managerial and leadership positions in the digital economy increasingly rely on data-driven decision making. Recent studies have shown companies who adopt “Data-Driven Decision Management” achieve significant productivity gains over other firms.
Having a solid grasp of the end-to-end process of making effective decisions with data will give you an edge, both in performing such analyses yourself, as well as in effectively managing teams of business analysts and data scientists.
In this course, part of both the Digital Leadership and Digital Product Management MicroMasters programs, you will learn the tools and techniques to become a data-driven or “evidence-based” manager.
You will learn the process of reframing a business question as a data question, reasoning about what data might be of assistance and how to obtain it, integrating and cleaning the data, performing the analysis, deriving and communicating insights from the analysis, and building the managerial culture to operate in this way and create competitive advantages from enterprise data.
This course is unique in the sense that it aims squarely at the needs of a manager in an analytically focused enterprise by providing both a hands-on introduction to the concepts, methods and processes of business analytics as well as an introduction to the use of analytics as the basis for creating a competitive advantage.
Software Requirements
Completion of this course requires the use of Microsoft Power BI Desktop. Unfortunately, there is currently no version of Power BI Desktop for macOS or Linux operating systems. We encourage learners to secure access to a Windows environment, but if that is not possible, macOS and Linux users can run Power BI Desktop in a virtual Windows environment. The course provides steps for installing such an environment.
What You’ll Learn
- Key analytic technologies and techniques, e.g. predictive modeling and machine learning, and how these can play a role in managerial decision making
- How to effectively manage the analytical processes and use the results of these processes as the basis for making informed, evidence-based decisions
- How companies can use analytics as the basis for creating value

Lebo Test
Prerequisites
Elementary college course in statistics.
Meet your instructors

John W. Byers

Chris Dellarocas

Andrei Lapets
Meet Your Instructors:

Marijn Janssen

Claudia Werker

Scott Cunningham
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
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

Holly Ott
Learner Testimonials
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
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
