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学生对 纽约州立大学布法罗分校 提供的 Data Analysis and Visualization 的评价和反馈

81 个评分


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



Jul 11, 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.


Sep 11, 2022

VCe 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.


1 - Data Analysis and Visualization 的 14 个评论(共 14 个)

创建者 Daniel D B

May 20, 2021

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Dec 16, 2020

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May 16, 2021