Avoiding Data Science Pitfalls

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

Common mistakes in data science

Showcase this hands-on experience in an interview

Clock2 Hours
BeginnerBeginner-friendly
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.

Requirements

Understanding of basic statistics and python

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.