In this course, you’ll learn several techniques for sampling data, such as random sampling and cluster sampling; you’ll also learn concepts such as discrete variables and random variables in the context of frequency distributions — and the different types of charts and graphs you might use to visualize frequency distributions.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
In the guided project, you’ll investigate Fandango Movie Ratings to determine if Fandango is inflating movie ratings on its site. This project is a chance for you to apply the statistics skills you’ve learned and overcome common setbacks in practical data analysis.
- Sampling data using simple, random, stratified and cluster sampling
- Measuring variables in statistics
- Building, visualizing, and comparing frequency distributions
Introduction to Statistics in Python [6 lessons]
Projects in this course
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