What is a bootcamp?
Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:
- Live kick-off event
- Instructor facilitated Q&A for expert feedback and coaching
- Learner Success Support: welcome call, advising sessions, personalized pace reminders
- 24/7 help desk
About This Course:
In this bootcamp you will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data.
This course can be used towards completion of a Professional Certificate in Data Science for Executives.
What You Will Learn:
- Data collection, analysis and inference
- Data classification to identify key traits and customers
- Conditional Probability-How to judge the probability of an event, based on certain conditions
- How to use Bayesian modeling and inference for forecasting and studying public opinion
- Basics of Linear Regression
- Data Visualization: How to create use data to create compelling graphics
Professional Certificate in Data Science for Executives
Learn the foundations and power of data science
Andrew Gelman
David Madigan
Lauren Hannah
Eva Ascarza
What is a bootcamp?
Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:
- Live kick-off event
- Instructor facilitated Q&A for expert feedback and coaching
- Learner Success Support: welcome call, advising sessions, personalized pace reminders
- 24/7 help desk
About This Course:
This bootcamp has a focus on learning the most commonly used project management methodologies in the IT field, and why they are effective. This bootcamp introduces you to project management standards and frameworks that increase efficiency and deliver tangible business benefits to IT projects.
Topics include:
- Relationships among projects, programs and portfolios
- Organizational culture and project management roles
- Project management methods and lifecycles and their applications
This course can be used towards completion of a Professional Certificate in IT Project Management.
What You Will Learn:
By the end of this course, you will be able to:
- Explain why organizations use project management to deliver business value
- Describe the relationships among projects, programs and portfolios
- Define the differences between predictive, iterative and Agile-based lifecycles
- Analyze different project management roles – project manager, sponsor, stakeholder, ScrumMaster, product owner and developer
- Understand how organizational culture can influence the role of the project manager
Professional Certificate in IT Project Management
Debra Hildebrand
What is a Bootcamp?
Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:
- Live kick-off event
- Instructor facilitated Q&A for expert feedback and coaching
- Learner Success Support: welcome call, advising sessions, personalized pace reminders
- 24/7 help desk
About This Course:
In this bootcamp we start by learning the key project management processes, roles, mechanics, and philosophies behind Scrum. This will provide the basis for all understanding Agile in its purest form, exploring Why, Who, How, and finally What Scrum looks like applied in the real world. From understanding the agile team members, like scrum master and product owner, to the important differences in lean and agile processes
Scrum and Agile are often considered synonymous, and there is a good reason. Scrum embodies the simplest and most pure approach to managing project work at the team level. Scrum is employed by over half of all Agile practitioners across all industries. While agile may have started in software development, many industries now use an agile methodology to deliver their work. Development teams around the world are now using Kanban boards and assigning strong product owners to direct self-organizing teams to deliver on prioritized product backlogs. And nearly every new product has some sort of IT component and goes through an agile development lifecycle.
- Today nearly 100% of IT organizations use Agile and many other industries are quickly following
- The likelihood of being on a Scrum or Scrum-like project is quickly approaching 50/50 or better over time.
While this course will not make you an agile certified practitioner (PMI-ACP), or certified scrum master (CSM), it offers a more fundamental agile certification based on agile principles and how scaled agile is applied in industry today.
Upon successful completion of this course, learners can earn 10 Professional Development Unit (PDU) credits, which are recognized by the Project Management Institute (PMI). PDU credits are essential to those looking to maintain certification as a Project Management Professional (PMP).
This course can be used towards completion of a Professional Certificate in Agile Project Management.
What You Will Learn:
- Why Agile is taking over: history, case studies, and proof Agile works better
- Who uses Agile based on industry scale, stakeholders, and engineering
- How to run a successful Scrum team for speed, innovation, leadership, and control
- Scrum team makeup, user story writing, sprint planning, execution, and retro tools
- What Scrum looks like at scale, its alternatives, and how to avoid pitfalls over time
Professional Certificate in Agile Project Management
John Johnson
What is a Bootcamp?
Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:
- Live kick-off event
- Instructor facilitated Q&A for expert feedback and coaching
- Learner Success Support: welcome call, advising sessions, personalized pace reminders
- 24/7 help desk
About This Course:
This bootcamp covers the basics of data visualization and exploratory data analysis. We will use three motivating examples and ggplot2; a data visualization package for the statistical programming language R. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.
We’ll also be looking at how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled with care.
The fact that it can be difficult or impossible to notice a mistake within a dataset makes data visualization particularly important. The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many areas. Data visualization provides a powerful way to communicate data-driven findings, motivate analyses, and detect flaws.
This course can be used towards completion of a Professional Certificate in Data Science.
What You Will Learn:
- Data visualization principles
- How to communicate data-driven findings
- How to use ggplot2 to create custom plots
- The weaknesses of several widely used plots and why you should avoid them
Professional Certificate in Data Science
Real-world case studies to jumpstart your career
Rafael Irizarry
Leonardo Palomera
Frequently Asked Questions:
Honor code statement
HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.
Research statement
By registering as an online learner in our open online courses, you are also participating in research intended to enhance HarvardX’s instructional offerings as well as the quality of learning and related sciences worldwide. In the interest of research, you may be exposed to some variations in the course materials. HarvardX does not use learner data for any purpose beyond the University’s stated missions of education and research. For purposes of research, we may share information we collect from online learning activities, including Personally Identifiable Information, with researchers beyond Harvard. However, your Personally Identifiable Information will only be shared as permitted by applicable law, will be limited to what is necessary to perform the research, and will be subject to an agreement to protect the data. We may also share with the public or third parties aggregated information that does not personally identify you. Similarly, any research findings will be reported at the aggregate level and will not expose your personal identity.
Please read the edX Privacy Policy for more information regarding the processing, transmission, and use of data collected through the edX platform.
Nondiscrimination/anti-harassment statement
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.
What is a Bootcamp?
Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:
- Live kick-off event
- Instructor facilitated Q&A for expert feedback and coaching
- Learner Success Support: welcome call, advising sessions, personalized pace reminders
- 24/7 help desk
About This Course:
Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python bootcamp will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python.
Upon its completion, you’ll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment.
You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you will receive free access to Watson Studio. Start now and take advantage of this platform and learn the basics of programming, machine learning, and data visualization with this introductory course.
What You Will Learn:
- What Python is and why it is useful
- The application of Python to Data Science
- How to define variables in Python
- Sets and conditional statements in Python
- The purpose of having functions in Python
- How to operate on files to read and write data in Python
- How to use pandas, a must have package for anyone attempting data analysis in Python.
Meet Your Instructor:
Joseph Santarcangelo
Joseph Santarcangelo is currently working as a Data Scientist at IBM. Joseph has a Ph.D. in Electrical Engineering. His research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition.
What is a Bootcamp?
Our facilitated bootcamps focus on rapid skill acquisition by progressing you through a standard course on an accelerated schedule with peers who are committed to progressing on pace. Our bootcamps include:
- Live kick-off event
- Instructor facilitated Q&A for expert feedback and coaching
- Learner Success Support: welcome call, advising sessions, personalized pace reminders
- 24/7 help desk
About This Course:
This bootcamp will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.
We’ll cover R’s functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You’ll learn how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data.
We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.
This course can be used towards completion of a Professional Certificate in Data Science .
What You Will Learn:
- Basic R syntax
- Foundational R programming concepts such as data types, vectors arithmetic, and indexing
- How to perform operations in R including sorting, data wrangling using dplyr, and making plots
Professional Certificate in Data Science
Real-world case studies to jumpstart your career
Rafael Irizarry
Leonardo Palomera
Frequently Asked Questions:
Honor code statement
HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.
Research statement
By registering as an online learner in our open online courses, you are also participating in research intended to enhance HarvardX’s instructional offerings as well as the quality of learning and related sciences worldwide. In the interest of research, you may be exposed to some variations in the course materials. HarvardX does not use learner data for any purpose beyond the University’s stated missions of education and research. For purposes of research, we may share information we collect from online learning activities, including Personally Identifiable Information, with researchers beyond Harvard. However, your Personally Identifiable Information will only be shared as permitted by applicable law, will be limited to what is necessary to perform the research, and will be subject to an agreement to protect the data. We may also share with the public or third parties aggregated information that does not personally identify you. Similarly, any research findings will be reported at the aggregate level and will not expose your personal identity.
Please read the edX Privacy Policy for more information regarding the processing, transmission, and use of data collected through the edX platform.
Nondiscrimination/anti-harassment statement
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.
