Avoiding Data Science Pitfalls

Offered By
Coursera Project Network
In this Guided Project, you will:

Common mistakes in data science

Clock2 Hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this 2-hour long project-based course, you will learn some important statistical concepts with examples & visuals, concepts that are most commonly mistaken in data analysis and how to ensure you don’t fall for them.

Skills you will develop

StatisticsError analysisanalysis

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Making assumptions without facts

  2. Measuring the wrong things

  3. Specious correlations

  4. Simpson paradox

  5. Distribution theory and importance of visualization

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.