Syllabus

Programming

• Expressions
• Names
• Data types
• Arrays
• 2D arrays
• Pandas DataFrames
• Conditionals
• for loops
• Functions
• Applying functions to data frames.
• Optimization

Data

• Reading data into data frames
• Scatter plots
• Bar charts
• Histograms

Statistics

• Simulation
• Hypothesis testing
• The sampling distribution
• The p value
• Mean
• Standard deviation
• Permutation testing
• The bootstrap
• Regression
• Correlation
• (Multiple regression)
• Machine learning