Data, AI, and Cloud Courses

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

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

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

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.

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

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

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

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

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

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

Learn to process sensitive information with privacy-preserving techniques.

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

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

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

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

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

Learn to analyze, plot, and model multivariate data.

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

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

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

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

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

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

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!

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

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.