1. Videos
2. Textbook (supplemental)
3. Homework (Due Sunday 9/5, late 9/6)
   1. Homework 03 Part 1: Census & Charts
   2. Homework 03 Part 2: Histograms & Functions
4. Group Worksheet
5. Lab 03 (In Box folder if not in your container already)

Videos

Part 1: Census

1. Census (6:59)
2. Column Arithmetic (3:23)
3. Accessing Values (6:04)
4. Males and Females (7:13, Optional)

Part 2: Charts

1. Line Graphs (11:40)
2. Example 1 (4:31, Optional)
3. Scatter Plots (7:28)
4. Example 2 (6:15, Optional)
5. How to Choose (2:15)
6. Types of Data (3:58)
7. Distributions (10:47)
8. Example 3 (8:02)

Part 3: Histograms

1. Area Principle (7:22)
2. Binning (18:04)
3. Example 1 (5:07, Optional)
4. Drawing Histograms (13:06)
5. Density (9:38)
6. Example 2 (6:38, Optional)
7. Example 3 (5:32, Optional)

Part 4a: Comparing Histograms

1. Comparing Histograms (6:08)
2. Comparing Histograms Discussion (2:48)

Part 4b: Functions

1. Defining Functions (5:15)
2. Defining Functions Discussion (8:04)
3. Apply (3:30)
4. Example Prediction (10:46)

Textbook

• Ch 6.3: Example: Population Trends
• Ch 6.4: Example: Trends in Gender
• Ch 7: Visualization
• Ch 8.0: Functions and Tables
• Ch 8.1: Applying a Function to a Column

1. Videos – Note some are optional
2. Textbook links are supplemental
3. Homework(Due Sunday 8/29. Can submit once late 9/4)
   1. Homework 01: Cause and Effect
   2. Homework 02 Part 1: Python & Tables
   3. Homework 02 Part 2: Expressions
   4. Homework 02 Part 3: Strings & Building Tables
4. Group Worksheet
5. Lab 02

Videos

Part 1a: Python

1. Python (6:44)
2. Names (10:24)
3. Call Expressions (5:29)

Part 1b: Tables

1. Tables (3:59)
2. Select (6:21)
3. Sorting (11:23)
4. Bar Charts (12:00)

Part 2: Expressions

1. Arithmetic (11:12)
2. Arithmetic Question (2:45)
3. Exponential Growth (8:57)
4. Arrays (3:22)
5. Columns (7:57)

Part 3a: Strings

1. Creating Tables (5:53)
2. Strings (9:28)
3. String Exercise (0:50, Optional)
4. Exercise Answer (1:39, Optional)

Part 3b: Minard’s Map (Optional)

1. Minard’s Map (3:14, Optional)
2. Minard’s Map Code (8:18, Optional)

Part 3c: Building Tables

1. Lists (8:07)
2. Take (3:50)
3. Where  (10:42)

Textbook (Supplemental)

• Ch. 3: Programming in Python
• Ch. 4: Data Types
  • Ch. 4.1: Numbers
  • Ch. 4.2: Strings
• Ch. 6: Tables

You should watch the videos before doing anything else, but the links are here for quick access.

1. Homework 01: Cause and Effect (Due Sunday 8/29. Can submit once late to 9/4)
2. No In-class group worksheet
3. Reserve your Jupyter Notebook
4. Lab 01 – Find it in your Jupyter Notebook

Videos

Part 1: Introductions

• Introduction to CompSci116 (slides)
• Data8: Introduction
• Optional Videos
  • Data8: Why Data Science?
  • Data8: Programming
  • Data8: Demo – Little Women – This demo includes programming techniques that we haven’t yet described in detail since the course just started. Don’t worry if you can’t follow the details or understand the code, especially if you haven’t programmed before. Your goal, for now, should be to try to understand why programming and visualization are relevant to data science. Learning the details of programming will start later.
  • Data8:  Demo – Visualizations (1)
  • Data8:  Demo – Visualizations (2)

Part 2: Cause and Effect

• Data8: Questions
• Data8: Association
• Data8: Causation
• Data8: Confounding

Textbook (Supplemental)

• Ch. 1: What is Data Science?
• Ch. 2: Causality and Experiments