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Coursera

Excel: Statistical Analysis and Data Transformation

via Coursera

Overview

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In this course, you'll continue to develop your data-analysis skills in Excel by performing statistical analysis with trendlines, sparklines, and using the Analysis ToolPak. You'll also connect to data and transform that data to ensure it is clean and in the optimal state. This is the fourth course in a multi-course Specialization. All of the courses in this Specialization require that you have a recent version of Microsoft Excel installed. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.

Syllabus

  • Performing Statistical Analysis
    • While Microsoft® Excel® gives you many tools for analyzing data, sometimes there's so much data it's not efficient to work with. In those cases, you need a methodology for taking samples that represent the larger data picture, and working with them to find the insights you're looking for.
  • Getting and Transforming Data
    • The more complex your data analysis becomes, the more you will need to focus on well-defined segments of data. To do that, you need to refine the data from the moment you bring it into Microsoft® Excel®. Excel provides rich features that enable you to select just the data you want, and bring it into Excel in the format you need. Learning the concepts behind getting and transforming data in this way will take your data analysis skills to the next level.
  • Completing the Course
    • You'll wrap things up and then validate what you've learned in this course by taking an assessment.

Taught by

Bill Rosenthal

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