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What you will learn
Data is all around us. Everything from the fitness tracker on your wrist to researchers at your local university are creating mountains of data — big data. What does all this data mean? And how can it help us answer important questions, such as: What are the leading causes of heart disease? Or what patterns are related to higher pay at your job? Looking at data can help us answer fun questions too — who’s likely to win the next Super Bowl?
Leave the boring lectures behind and intuitively learn data analysis through interactive exercises that allow you to play with fascinating real-world datasets. By the end of this free course, you’ll be comfortable applying the basics of statistical analysis and econometrics. There are no prerequisites and we encourage you to repeat the interactive lessons as often as you need.
Overview
Syllabus
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1. Introduction
Introduction to Understanding Data
2. Linear Regression
Intro to Linear Regression
Interpreting the Regression Line
Outliers
(Coming Soon) Standard Error, T-statistic, Statistical Significance
(Coming Soon) P-Value
(Coming Soon) R Squared
(Coming Soon) Improving Your Regression Model
(Coming Soon) Linear Regression: Common Pitfalls
