Data science courses

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

In this course youll learn how to apply machine learning in the HR domain.

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

Learn the bag of words technique for text mining with R.

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

Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

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

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

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

Learn how to prepare and organize your data for predictive analytics.

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Learn to analyze, plot, and model multivariate data.

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

Discover branches and remote repos for version control in collaborative software and data projects using Git!

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

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

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

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

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.

In this course youll learn techniques for performing statistical inference on numerical data.

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

Predict employee turnover and design retention strategies.

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

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

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