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

4.7
stars
159 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,...
...

Top reviews

OM

Jul 12, 2022

A very educative course indeed. Thanks to Coursera and its multiple partners who made this possible. lam forever grateful for being afforded such an opportunity. Thanks to the course facilitators.

KL

Sep 12, 2022

V​Ce cours a ete tres important pour moi, car j'ai pu aprendre d'excellentes tectniques liees a l'analyse et visualisation de donnees, aisnique a la conception de plan d'action de projet.

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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