Data, AI, and Cloud Courses

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

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

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

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

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.

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

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

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

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

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

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

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

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

Learn to process sensitive information with privacy-preserving techniques.

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

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

Explore Azure services like Compute, Storage, and Automation, with hands-on experience.

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.

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

Learn to analyze, plot, and model multivariate data.

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

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

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

Learn how to set up and manage your Microsoft Fabric infrastructure.

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

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

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

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.