Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

Learn R for data science by wrangling, visualizing, and modeling political data like polls and election results.

Learn how to detect fraud using Python.

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

Learn to build pipelines that stand the test of time.

Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.

Learn how to work with streaming data using serverless technologies on AWS.

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Sheets.

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Learn to solve increasingly complex problems using simulations to generate and analyze data.