Data Science: Methods for Data Analysis


Course Details

This course can only be taken as part of the Certificate in Data Science.

Get Program Details

About this Course

An important part of data science is the ability to analyze data and explain results to a nontechnical audience. This course focuses on the fundamentals of probability, statistics and data visualization, including sampling methods, hypothesis testing and linear models. We’ll also look at how to avoid common pitfalls when interpreting and presenting results.

What You’ll Learn

  • Common statistical measures and plots to describe data and results
  • Statistical inference using both the Bayesian and frequentist approaches
  • Common statistical pitfalls and how to avoid them

Get Hands-On Experience

  • Use statistics to summarize and visualize data
  • Apply sampling techniques to estimation problems
  • Build and interpret linear models 

Program Overview

Complete the courses listed below to earn the certificate. You may be able to take individual courses without enrolling in the certificate program; check the course pages for details.

  Stay up to date with emails featuring career tips, event invitations and program updates.       Sign Up Now