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Statistics for Data Science
Curriculum
4 Sections
15 Lessons
7 Hours
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Statistical Thinking
4
1.1
Populations, Samples and Bias
26 Minutes
1.2
Types of Variables
34 Minutes
1.3
Distributions and the Normal Curve
22 Minutes
1.4
Central Tendency and Spread
30 Minutes
Probability Essentials
4
2.1
Probability Rules and Intuition
33 Minutes
2.2
Conditional Probability and Bayes
20 Minutes
2.3
Common Distributions in Practice
29 Minutes
2.4
The Central Limit Theorem
34 Minutes
Inference
4
3.1
Confidence Intervals Explained
32 Minutes
3.2
Hypothesis Testing Step by Step
29 Minutes
3.3
p-Values: Use and Misuse
34 Minutes
3.4
t-Tests and Chi-Square
32 Minutes
Statistics for Models
3
4.1
Correlation and Regression Statistics
34 Minutes
4.2
A/B Test Analysis
23 Minutes
4.3
Course Project: Statistical Report
19 Minutes
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