Course Schedule

Date Event

Week 1

Aug. 23 What is Data Science? and Types of Data
Aug. 25 Experimental Design and Blocking
Aug. 27 Python for Data Science: Introduction to DataFrames

Week 2

Aug. 30 Row Selection with DataFrames
Sep. 1 Confounders and Stratification
Sep. 3 Simpson's Paradox

Week 3

Sep. 6 Holiday (No Lecture) -- Labor Day
Sep. 8 Conditionals on DataFrames
Sep. 10 Exploratory Data Analysis (EDA)

Week 4

Sep. 13 Descriptive Statistics
Sep. 15 Grouping Data
Sep. 17 Histograms and Box Plots

Week 5

You will take your Midterm 1 exam in the CBTF anytime from Sept. 20 - Sept. 25. (You can begin to sign up for a slot on Sept. 9.)
Sep. 20 Visualization using Python
Sep. 22 Midterm Day Off (No Lecture)
Sep. 24 Probability Introduction

Week 6

Sep. 27 Random Numbers in Python
Sep. 29 Multiplication Rule
Oct. 1 Addition Rule

Week 7

Oct. 4 Conditional Probability
Oct. 6 Bayes' Rule
Oct. 8 Simulation Introduction

Week 8

Oct. 11 For-Loops and Simple Simulation in Python
Oct. 13 Sample Space and State Space
Oct. 15 Conditionals in Python

Week 9

Oct. 18 Functions in Python
Oct. 20 Project!
Oct. 22 Normal Distribution

Week 10

You will take your Midterm 2 exam in the CBTF anytime from Oct. 25 - Oct. 30. (You can begin to sign up for a slot on Oct. 14.)
Oct. 25 Midterm 2 in CBTF (No Lecture)
Oct. 27 Law of Large Numbers
Oct. 29 Random Variables in Statistics

Week 11

Nov. 1 Bernoulli and Binomial Distributions
Nov. 3 Distributions in Python
Nov. 5 Central Limit Theorem (CLT)

Week 12

Nov. 8 Polling and Sampling
Nov. 10 Confidence Intervals
Nov. 12 Hypothesis Testing

Week 13

Nov. 15 Machine Learning Overview
Nov. 17 Correlation
Nov. 19 Linear Regression

Week 14

Nov. 22 Fall Break (No Lecture)
Nov. 24 Fall Break (No Lecture)
Nov. 26 Fall Break (No Lecture)

Week 15

Nov. 29 Machine Learning
Dec. 1 Clustering
Dec. 3 Machine Learning in Python

Week 16

You will take your Final Exam exam in the CBTF anytime from Dec. 9 - Dec. 13. (You can begin to sign up for a slot on Nov. 4.)
Dec. 6 Project 2
Dec. 8 Study for Final Exam