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Learner Reviews & Feedback for Data Analysis and Visualization by University at Buffalo

15 ratings
3 reviews

About the Course

By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story. Material features online lectures, videos, demos, project work, readings and discussions. This course is ideal for individuals keen on developing a data-driven mindset that derives powerful insights useful for improving a company’s bottom line. It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations. It is the second course in the Data-Driven Decision Making (DDDM) specialization. To learn more about the specialization, check out a video overview at
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1 - 3 of 3 Reviews for Data Analysis and Visualization

By Purvesh P

Jan 18, 2021



Dec 16, 2020

Examples and better instructions on the assignment would improve this course.

By Mikolaj I

Apr 13, 2021

Practical examples & tasks would be a great advantage!