Course · Intermediate
Introduction to Statistics in R
In this course, we'll introduce you to statistics and how to use it in data science.
- Intermediate friendly
- 5 hrs
- 6 lessons
- 1 project
- Premium
Course overview
Apply core statistical sampling techniques in R—including random, stratified, and cluster sampling—using hands-on analysis scenarios.
What's inside
6 lessons · 1 project
- 01 50 minSimple Random Sampling
Learn about simple random sampling methods with R.
- 02 71 minStratified Sampling and Cluster Sampling
Learn about stratified sampling and cluster sampling with R.
- 03 37 minVariables in Statistics
Identify variables in statistics, and how to measure them.
- 04 62 minFrequency Distributions
Learn to generate and analyze frequency distributions with R.
- 05 43 minVisualizing Frequency Distributions
Learn to generate graphs for frequency distributions with R.
- 06 40 minComparing Frequency Distributions
Learn how to compare frequency distributions with visualizations with R
- 07 4 minGuided Project: Investigative Statistical Analysis - Analyzing Accuracy in Data Presentation Project
For this project, you'll be a data journalist analyzing Fandango's movie ratings to determine if there was any change after a 2015 analysis found evidence of bias. You'll use R and statistics skills to compare movie ratings data from 2015 and 2016.
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