Data, AI, and Cloud Courses

Learn to analyze and model customer choice data in R.

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

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

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

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

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

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

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

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

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

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

Predict employee turnover and design retention strategies.

Learn to detect fraud with analytics in R.

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

Learn to create animated graphics and linked views entirely in R with plotly.

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

Explore GDPR through real-world cases on data rights, breaches, and compliance challenges.

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

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

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

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

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.

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.