Learn to upscale your Python workflows to efficiently handle big data with Dask.

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

In this course you'll learn how to leverage statistical techniques for working with categorical data.

In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

This course is for R users who want to get up to speed with Python!

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

This course covers in detail the tools available in R for parallel computing.

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.