Day 4: Linear algebra and summary statistics

Interpreting, writing, solving (basic) and using differential equations in EDS.

Day 4 Part 1:

Morning lecture:

Lecture 4A Slides - PDF

• Linear algebra continued
• Matrix algebra
• Diagonals and transformation
• Linear algebra for systems of equations

Morning interactive session

Interactive Session 4A handout

• Basic linear algebra continued
• Summary statistics in R and Python
• Basic visual data exploration in ggplot2

Morning flex session

• Fancy your notebooks: R Markdown tips & tricks

Day 4 Part 2:

Afternoon lecture:

Lecture 4B Slides - PDF

• Summary statistics and data exploration
• Central tendency
• Spread & distributions
• Exploratory data visualization

Afternoon interactive session

Interactive Session 4B handout

• Summary statistics continued
• Data exploration continued

Afternoon flex session

• Watch party: JD Long’s 2019 RStudio::conf talk Empathy in action

Day 4 Tasks and Activities

Day 4 Tasks - Handout

Efficiency tips

Inspired by Dr. Julia Lowndes’ Openscapes program.

• Cmd + F: Open ‘Find and replace’ in current doc
• Cmd + Shift + F: Search in entire R project