Date | Topic | Materials | Due |
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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 |
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Performance Assessment 1: -PA1 | Due- September 11 (Sunday) Click here for PA1 submission |
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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 |

********************************** | ************************************************** | ********************************** | ********************************** |

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 |
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Performance Assessment 2:- PA2 | Due- September 25 (Sunday) Click here for PA2 submission |
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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 | |

********************************** | ************************************************** | ********************************** | ********************************** |

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 |
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Performance Assessment 3:- PA3 | Due- October 9 (Sunday) Click here for PA3 submission |
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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) |
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Thursday, Oct 6 | Hypothesis tests | Deck 3.3 + App 3.2 | |

Monday, Oct 10 | Fall break! - no lab |
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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 |
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Performance Assessment 4:- PA4 | Due- October 30 (Sunday) Click here for PA4 submission |
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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 | |

********************************** | ************************************************** | ********************************** | ********************************** |

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 |
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Performance Assessment 5: - PA5 | Due- November 6 (Sunday) Click here for PA5 submission |
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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) |
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Monday, Nov 14 | Lab- Lab 8: Introduction to linear regression |
Lab 8 | |

********************************** | ************************************************** | ********************************** | ********************************** |

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 |
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Performance Assessment 6: - PA6 | Due- November 20 (Sunday) Click here for PA6 submission |
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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 |

********************************** | ************************************************** | ********************************** | ********************************** |

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 |
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Performance Assessment 7: - PA7 | Due- December 9 (Friday) Click here for PA7 submission |
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Tuesday, Nov 22 | RA 7 + Introduction to multiple linear regression |
Deck 7.1 | |

Monday, Nov 28 | Lab:- Project discussion |
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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) |