Art of Data

Schedule

The schedule and assignments may be changed until officially covered in class. You are certainly free to work ahead; just be mindful if things do end up changing!

You may encounter some symbols. Here is what they mean:
⊕: key concepts you should be familiar with
▲: additional links to check out

Unit 1: Getting Started

  1. Setting up the Environment
  2. Terminal and Git
  3. Python
  4. Lab 1

Unit 2: Data and Its Sources

  1. Introduction to Data
  2. How Data is Organized
  3. Designing a Study
  4. Conducting Experiments
  5. Cleaning and Preparing Data
  6. Using APIs
  7. Lab 2

Unit 3: Descriptive Statistics

  1. Introduction to Descriptive Statistics
  2. Describing Relationships
  3. Basic Visualizations
  4. Lab 3

Unit 4: Data Visualization

  1. Visual Perception
  2. Visualizing Data
  3. Creating Visualizations
  4. Lab 4

Unit 5: Inferential Statistics

  1. Introduction to Probability
  2. Random Variables and Probability Distributions
  3. Sampling Distributions
  4. Confidence Intervals
  5. Hypothesis Testing
  6. Final Lab