Understanding Data


Understanding Data

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 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.

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Runs approx 6 video hours

Course Outline

2 Basic Terms and Concepts
  • Mean, Median, Mode
  • Standard Deviation, Interquartile Range, Minimum, and Maximum
  • Skewness and Outliers
  • Correlation
  • Data Structure: Cross-Sectional, Time Series, and Panel Data
3 Intro to Regression Analysis
  • Simple Linear Regression: Intercept and Slope
  • Precision and Sample Size
  • Goodness of Fit: The R-Squared
  • How to Interpret the Residuals
  • Using Regression for Prediction
4 Multiple Regression Analysis: Estimation and Inference
  • Multiple Regression Analysis
  • Multicollinearity: Highly Correlated Explanatory Variables
  • Omitted Variable Bias: Excluding a Relevant Explanatory Variable
  • Including Irrelevant Explanatory Variables
  • Statistical and Practical Significance: The p-Value
5 Multiple Regression Analysis: Data Issues
  • Missing Data
  • Non-Random Samples
  • Truncated Data

Recent Activity

New Course Video
Aug 30
Release Schedule

The next videos in this course will be available in early 2017. Subscribe above and be the first to know when new content is available!


Welcome to Understanding Data! Wednesday, September 28, 2016 - 16:42
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