Schedule


Date Topic Materials Due
UNIT 1: Introduction to Data Videos:- [Unit 1, week 1] and [Unit 1, week 2] Text book:- Chapter 1
Learning Objectives (LO):- [Unit 1, week 1] and [Unit 1, week 2]
Problem set 1 :- PS1 Due- September 9 (Friday) Click here for PS1 submission
Performance Assessment 1: -PA1 Due- September 11 (Sunday) Click here for PA1 submission
Monday, Aug 29 Lab:- Lab 0: Introduction Lab 0
Tuesday, Aug 30 Data Collection + Observational studies & experiments Deck 0 + Deck 1.1
Thursday, Sep 1 RA 1 (not graded) + Exploratory data analysis Deck 1.2 + App 1.1
Monday, Sep 5 Lab:-Lab 1: Introduction to R & RStudio Lab 1
Tuesday, Sep 6 More exploratory data analysis Deck 1.3 + App 1.2 + App 1.3
Thursday, Sep 8 Introduction to statistical inference Deck 1.4 + App 1.4
Monday, Sep 12 Lab:- Lab 2: Introduction to data Lab 2 Lab 1
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UNIT 2: Probability and distributions Videos:- [Unit 2, week 3] and [Unit 2, week 4] Text book:- Chapter 2 Sec 2.1, 2.2 + Chapter 3 - Sec 3.1, 3.2, 3.4
Learning Objectives (LO):- [Unit 2, week 3] and [Unit 2, week 4]
Problem set 2 :- PS 2 Due- September 21 (Wednesday) Click here for PS2 submission
Performance Assessment 2:- PA2 Due- September 25 (Sunday) Click here for PA2 submission
Tuesday, Sep 13 RA 2 + Probability & conditional probability Deck 2.1 + App 2.1
Thursday, Sep 15 Bayes' theorem and Bayesian inference Deck 2.2 + App 2.2
Monday, Sep 19 Lab:- Lab 3: Probability Lab 3 Lab 2
Tuesday, Sep 20 Normal + Binomial distribution Deck 2.3 + App 2.3
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UNIT 3: Foundations for inference Videos:- [Unit 3, week 1] and [Unit 3, week 2] Text book:- Chapter 4
Learning Objectives (LO):- [Unit 3, week 1] and [Unit 3, week 2]
Problem set 3 :- PS 3 Due- October 7 (Friday) Click here for PS3 submission
Performance Assessment 3:- PA3 Due- October 9 (Sunday) Click here for PA3 submission
Thursday, Sep 22 RA 3 +Variability in estimates & CLT Deck 3.1
Monday, Sep 26 Lab:- Lab 4: Sampling distributions Lab 4 Lab 3
Tuesday, Sep 27 Confidence intervals Deck 3.2 + App 3.1
Thursday, Sep 29 Midterm 1 review session MT Review+Sample Midterm1 + Sample Midterm1-Key
Monday, Oct 3 Lab:- Lab 5: Confidence Intervals Lab 5 Lab 4
Tuesday, Oct 4 Midterm 1 (in class)
Thursday, Oct 6 Hypothesis tests Deck 3.3 + App 3.2
Monday, Oct 10 Fall break! - no lab
Tuesday, Oct 11 Fall break! - no lecture
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UNIT 4: Inference for numerical variables Videos:- [Unit 4] Text book:- Chapter 5
Learning Objectives (LO):- [Unit 4]
Problem set 4 :- PS 4 Due- October 26 (Wednesday) Click here for PS4 submission
Performance Assessment 4:- PA4 Due- October 30 (Sunday) Click here for PA4 submission
Thursday, Oct 13 RA 4 + Inference using the t-distribution Deck 4.1 + App 4.1
Monday, Oct 17 Lab:- Lab 6: Inference for numerical data Lab 6 Lab 5
Tuesday, Oct 18 Bootstrapping Deck 4.2 + App 4.2
Thursday, Oct 20 Power Deck 4.3 + App 4.3
Monday, Oct 24 Lab:- Project proposal discussion Project Due Oct 31 Lab 6
Tuesday, Oct 25 ANOVA Deck 4.4 + App 4.4
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UNIT 5: Inference for categorical variables Videos:- [Unit 5] Text book:- Chapter 6
Learning Objectives (LO):- [Unit 5]
Problem set 5 :- PS 5 Due- November 6 (Sunday) Click here for PS5 submission
Performance Assessment 5: - PA5 Due- November 6 (Sunday) Click here for PA5 submission
Thursday, Oct 27 RA 5 +Inference for a single proportion Deck 5.1 + App 5.1
Monday, Oct 31 Lab:- Lab 7: Inference for categorical data Lab 7 Due Project : Monday Oct 31 - Click here for Project Proposal submission
Tuesday, Nov 1 Inference for comparing two proportions Deck 5.2 + App 5.2
Thursday, Nov 3 Chi-square testing Deck 5.3 + App 5.3
Monday, Nov 7 Lab:- Review session Lab 7
Tuesday, Nov 8 Midterm 2 review session Midterm Review 2+Sample Midterm2 + Sample Midterm2-Key
Thursday, Nov 10 Midterm 2 (in class)
Monday, Nov 14 Lab- Lab 8: Introduction to linear regression Lab 8
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UNIT 6: Introduction to linear regression Videos:- [Unit 6, week 1] + [Unit 6, week 2] + Text book:- Chapter 7
Learning Objectives (LO):- [Unit 6, week 1] and [Unit 6, week 2]
Problem set 6 :- PS 6 Due- November 20 (Sunday) Click here for PS6 submission
Performance Assessment 6: - PA6 Due- November 20 (Sunday) Click here for PA6 submission
Tuesday, Nov 15 RA 6 + Introduction to regression Deck 6.1 + App 6.1
Thursday, Nov 17 Outliers & Inference for SLR Deck 6.2 + App 6.2
Monday, Nov 21 Lab:- Lab 9: Multiple linear regression Lab 9 Lab 8
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UNIT 7: Multiple linear regression Videos:- [Unit 7]+ Text book:- Chapter 8
Learning Objectives (LO):- [Unit 7]
Problem set 7 :- PS 7 Due- December 4 (Sunday) Click here for PS7 submission
Performance Assessment 7: - PA7 Due- December 9 (Friday) Click here for PA7 submission
Tuesday, Nov 22 RA 7 + Introduction to multiple linear regression Deck 7.1
Monday, Nov 28 Lab:- Project discussion
Tuesday, Nov 29 Model selection & diagnostics for MLR Deck 7.2 + App 7.1
Thursday, Dec 1 Transformation and case studies Deck 7.3
Monday, Dec 5 Project: Poster session Project
Tuesday, Dec 6 Review session Review problems for class+More review problems
Thursday, Dec 8 Review session Final Review Slides
Friday, Dec 10-13 Reading days
Monday, Dec 19 Final Exam (2PM -5PM)