Data, AI, and Cloud Courses

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

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

Learn how to prepare and organize your data for predictive analytics.

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

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

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

Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Learn the fundamentals of valuing stocks.

Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.

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

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

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

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

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

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

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

Elevate your analysis with this hands-on course using SQL with DataLab workbooks.

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.

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

Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!

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

Learn to analyze, plot, and model multivariate data.

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

Explore HR data analysis in Tableau with this case study.

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

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

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

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