About this online course


Are you ready to leave the sandbox and go for the real deal? Have you followed EX101x Data Analysis: Take It to the MAX() and EX102x Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis?

In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.

For your project, you will pick one raw dataset out of several options, which you will turn into a dashboard. You will begin with a business question that is related to the dataset that you choose. The datasets will touch upon different business domains, such as revenue management, call-center management, investment, etc.

The progress of the project will be gradual – in the first weeks you will be guided by quizzes to make sure that you are on track. You will engage with creating first drafts of your work and discuss them with your peers. At the end, you will finalize your dashboard and elaborate on the considerations for designing it the way you did.

This course will allow you to practice the skills you've gained in previous Data Analysis XSeries courses and prove you can be an indispensable asset in data-driven organizations.

By completing this project and EX101x and EX102x, you can obtain the XSeries Data Analysis Verified Certificate.


What you'll learn:

  • How to build and design a dashboard based on raw data
  • Data analysis and visualization skills on real data
  • How to answer business questions and communicate your findings


This is a Massive Open Online Course (MOOC) that runs on edX. For this course, understanding of high school basic mathematics concepts is recommend. We also recommend EX101x and EX102x as prerequisite for this MOOC project, but no other knowledge is needed.

Enrollment period is over

  • Start date
    Future dates to be announced
  • Cost
  • Course length
  • Estimated effort
    3 - 5 hours per week / 6 weeks
  • Course code

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