Data Analysis Courses

Learn to process and convert raw data into formats needed for analysis.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Show what you’ve learned from the Professional Certificate Program in Data Science.

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

Develop skills in digital research and visualization techniques across subjects and fields within the humanities.

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Learn basic data visualization principles and how to apply them using ggplot2.

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Learn to process and convert raw data into formats needed for analysis.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Show what you’ve learned from the Professional Certificate Program in Data Science.

Develop a data mindset and the analytical skills to interpret and communicate data while applying concepts to real business problems in this course from Harvard Business School (HBS) Online.

Learn how to effectively use data to tackle your business decisions. Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information.