It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations. 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. Material features online lectures, videos, demos, project work, readings and discussions. ![]() The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story. Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). 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.
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