Data, AI, and Cloud Courses

Learn the fundamentals of valuing stocks.

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

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

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

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

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

Learn how to tune your models hyperparameters to get the best predictive results.

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

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

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

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.

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

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

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

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

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

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

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

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

Learn to analyze and model customer choice data in R.

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

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

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

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

Learn to detect fraud with analytics in R.

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

Predict employee turnover and design retention strategies.

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

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