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Learner Reviews & Feedback for Data Analysis and Visualization by University at Buffalo
168 ratings
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 https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11.
Top reviews
JH
Nov 25, 2024
A great course indeed. Increased my knowledge of how to analyze data and the tools to use for the analyses.
VN
Apr 24, 2025
The graded assignments should be more related to the content. This course was on visualization, but the assignment was not fully related to the modules.
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26 - 29 of 29 Reviews for Data Analysis and Visualization
By VICTOR G
•Dec 16, 2020
Examples and better instructions on the assignment would improve this course.
By Ricky P
•Jun 14, 2024
Could have provided a little more visual content.
By Samir K
•Jun 7, 2021
Interesting topics. But the supporting documents aren't that useful, and the final project has little to do with the contents of the course.
By John G
•May 16, 2021
Most of the lecturers are very boring and dont use text/bullet poi