Data, AI, and Cloud Courses

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

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

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

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

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

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

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

In this course youll learn how to use data science for several common marketing tasks.

Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

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

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

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

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

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

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.

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

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

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 perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

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

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Learn to detect fraud with analytics in R.

Learn to analyze and model customer choice data in R.

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

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

Predict employee turnover and design retention strategies.