Data science courses

Learn to analyze and model customer choice data in R.

Learn to analyze, plot, and model multivariate data.

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

Learn to easily summarize and manipulate lists using the purrr package.

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

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

Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

This course will show you how to combine and merge datasets with data.table.

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Learn to build simple models of market response to increase the effectiveness of your marketing plans.

Are you curious about the inner workings of the models that are behind products like Google Translate?

Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Learn to detect fraud with analytics in R.

Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

Predict employee turnover and design retention strategies.

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Learn how to tune your models hyperparameters to get the best predictive results.

Learn defensive programming in R to make your code more robust.

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

In this course, youll learn how to implement more advanced Bayesian models using RJAGS.