Spring 2021 FAQ Lab Hours Assignments Python Reference Assignment Check Hypthosis Testing

Welcome to statistics! The main goals of the course is that you learn statistics, apply it using programming, and have a fantastic experience doing so!

Calendar

Lesson Topic Lecture Notebook and Video Reading Assignment
Less 1 Welcome to Class!
Less 2 Introduction Lecture 1 1.1, 1.2, 1.3
Less 3 Cause and Effect 2
Less 4 Tables Lecture 2 3
Less 5 Data Types Lecture 3 4
Less 6 Sequences Lecture 4 5
Less 7 Building Tables Lecture 5 6.0, 6.1, 6.2
Less 8 Census Lecture 6 6.3, 6.4
Less 9 Charts Lecture 7 7, 7.1
Less 10 Histograms Lecture 8 7.2, 7.3
Less 11 Functions Lecture 9 8, 8.1, 8.2
Less 12 Groups, Joins, and Table Examples Lecture 10 8.3,8.4, 8.5
Less 13 Conditional Statements Lecture 11 9, 9.1
Less 14 Iteration Lecture 12 9.2, 9.3,9.4,9.5
Less 15 Sampling Lecture 13 10, 10.1, 10.2, 10.3
Less 16 Models and Comparing Distributions Lecture 14 11, 11.1, 11.2
Less 17 Decisions and Uncertainty Lecture 15 11.3, 11.4
Less 18 P-Values and A/B Testing Lecture 16 12.1, 12.2
Less 19 Examples and Causality Lecture 17 12.2, 12.3
Less 20 Confidence Intervals Lecture 18 13, 13.1, 13.2
Less 21 Interpreting Confidence Lecture 19 - NB 13.3, 13.4
Project 2: Cardiovascular Disease
Less 22 Center and Spread Lecture 20 14, 14.1
Less 23 The Normal Distribution Lecture 21 14.2, 14.3
Less 24 Sample Means and Designing Experiments Lecture 22 14.4, 14.5, 14.6
Less 25 Correlation and Linear Regression Lecture 23 15, 15.1, 15.2
Homework 10
Less 26 Least Squares and Residuals Lecture 26 - NB 15.3, 15.4, 15.5, 15.6
Homework 11
Lab 10
Less 27 Regression Inference Lecture 27 - NB 16
NoteBooks I Lecture 28 - NB
Lecture 29 - NB
NoteBooks II Lecture 30 - NB
Lecture 31 - NB
NoteBooks III Lecture 32 - NB
Lecture 33 - NB
Lecture 34 - NB