Data, AI, and Cloud Courses

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

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

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

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

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

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

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

Learn to analyze, plot, and model multivariate data.

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

Get to grips with the foundational components of LangChain agents and build custom chat agents

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.

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

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

Learn to process sensitive information with privacy-preserving techniques.

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 the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

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.

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.

Predict employee turnover and design retention strategies.

Learn to detect fraud with analytics in R.

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.

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

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.