Wrapping up

Practicing Statistics Interview Questions in Python

Conor Dewey

Data Scientist, Squarespace

Chapter 1: Probability and sampling distributions

• Conditional probabilities
• Central limit theorem
• Probability distributions

Chapter 2: Exploratory data analysis

• Descriptive statistics
• Categorical data
• Encoding techniques
• Multivariate relationships

Chapter 3: Statistical experiments and significance testing

• Confidence intervals
• Hypothesis testing
• Power analysis
• Multiple comparisons

Chapter 4: Regression and classification

• Linear regression
• Logistic regression
• Missing data and outliers
• Bias-variance tradeoff

Some advice

• Simulate the interview environment
• Practice explaining big concepts
• Know the business or product well
• Come prepared with ideas

Resources

• Data Science Career Resources Repo
• Practical Statistics for Data Scientists
• 120 Data Science Interview Questions
• Advice Applying to Data Science Jobs

Good luck and thank you!

Practicing Statistics Interview Questions in Python