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Data Analysis and Visualization

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.

Created by University at Buffalo


What you’ll learn

In this educational resource you may improve the compentencies sought by companies in 2021. The most relevant technique within the educational opportunity that is frequently included from employers is Data Analysis. The most in demand tool is Python. You will also hear about Decision Making Skills, a trait often mentioned in job advertisements.

Who will benefit?

Mapping the description from this learning resource with nearly 10,000 data-related job postings, we determine that those in or pursuing Data Scientist roles would benefit the most.