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YData: An Introduction to Data Science

YData is an introduction to the fundamental ideas and skills of data science. Based on Berkeley’s popular Data 8 course, YData is an introduction to data science that emphasizes computational and programming skills along with inferential thinking.

Calendar Spring 2020

Instructor: Jessi Cisewski-Kehe
Lecture: MWF 10:30-11:20, TBD location

Date Topic Lecture Reading Assignment
Mon 1/13 Introduction Demos, Slides Chapter 1.1, 1.2, 1.3  
Wed 1/15 Cause and Effect Slides Chapter 2 Practice 01: Expressions
Fri 1/17 Tables Demos, Slides Chapter 3 Homework 01 (Due Thu 1/23)
Mon 1/20 No class (MLK day)
Wed 1/22 Data Types Demos, Slides Chapters 4, 5 Practice 02: Types & Sequences
Fri 1/24 Building Tables Demos, Slides 6.1, 6.2 Homework 02 (Due Thu 1/30)
Mon 1/27 Census Demos, Slides 6.3, 6.4  
Wed 1/29 Charts Demos, Slides 7, 7.1 Practice 03: Arrays & Tables
Fri 1/31 Histograms Demos, Slides 7.2, 7.3 Homework 03 (Due Thu 2/6)
Mon 2/3 Functions Demos, Slides 8, 8.1  
Wed 2/5 Groups Demos, Slides 8.2, 8.3 Practice 04: Histograms & Functions
Fri 2/7 Joins Demos, Slides 8.4, 8.5 Homework 04 (Due Thu 2/13)
Project 1: World Progress
(Checkpoint Fri 2/14; Due Fri 2/21)
Mon 2/10 Table Examples Demos, Slides 8.5  
Wed 2/12 Iteration Demos, Slides 9, 9.1, 9.2, 9.3  
Fri 2/14 Chance Demos, Slides 9.4, 9.5 Homework 05 (Due Thu 2/20)
Mon 2/17 Sampling Demos, Slides 10, 10.1, 10.2  
Wed 2/19 Models Demos, Slides 10.3, 11.1 Practice 05: Sampling
Fri 2/21 Comparing Distributions Demos, Slides 11.1, 11.2 Homework 06 (Due Thu 2/27)
Project 1 due
Mon 2/24 Decisions and Uncertainty Demos, Slides 11.3  
Wed 2/26 A/B Testing Demos, Slides 12.1, 12.2 Practice 06: Assessing Models
Fri 2/28 Causality Demos, Slides 12.3 Homework 07 (Due Thu 3/26)
Practice midterm (sample solution)
Study sheet
Midterm solution
Mon 3/2 Examples Slides   Midterm Review
Wed 3/4 Midterm Exam      
Fri 3/6 Confidence Intervals Demos, Slides 13, 13.1, 13.2  
3/7 – 3/22 Spring Recess      
Mon 3/23 Interpreting Confidence Demos, Slides 13.3, 13.4  
Wed 3/25 Center and Spread Demos, Slides 14, 14.1, 14.2 Practice 07: Bootstrap
Fri 3/27 The Normal Distribution Demos, Slides 14.3, 14.4 Homework 08 (Due Thu 4/2)
Project 2: Diet & Disease
(Checkpoint Fri 4/3; Due Fri 4/10)
Mon 3/30 Sample Means Demos, Slides 14.5  
Wed 4/1 Designing Experiments Demos, Slides 14.6  
Fri 4/3 Correlation Demos, Slides 15, 15.1 Homework 09 (Due Thu 4/9)
Project 2 checkpoint
Mon 4/6 Linear Regression Demos, Slides 15.2  
Wed 4/8 Least Squares Demos, Slides 15.3, 15.4 Practice 08: Correlation
Fri 4/10 Residuals Demos, Slides 15.5, 15.6 Homework 10 (Due Thu 4/16)
Project 2 due
Project 3: Classifying Movies
(Due Fri 4/24)
Mon 4/13 Regression Inference Demos, Slides Chapter 16  
Wed 4/15 Classification Demos, Slides 17, 17.1, 17.2, 17.3  
Fri 4/17 Classifiers Demos, Slides 17.4 Homework 11 (Due Thu 4/23)
Mon 4/20 Classifiers Demos, Slides    
Wed 4/22 Decisions Demos, Slides Chapter 18 Practice 09: Regression
Fri 4/24 Conclusion Slides   Project 3 due
TBD Final Exam     TBD