Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.7+
• 150

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

• BasicSkill Level
• 4.6+
• 150

Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.

• IntermediateSkill Level
• 4.4+
• 150

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

• AdvancedSkill Level
• 4.5+
• 148

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

• IntermediateSkill Level
• 4.6+
• 147

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

• IntermediateSkill Level
• 4.8+
• 146

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

• IntermediateSkill Level
• 4.8+
• 146

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

• IntermediateSkill Level
• 4.6+
• 145

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

• AdvancedSkill Level
• 4.5+
• 145

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

• IntermediateSkill Level
• 4.8+
• 144

Build smart, interactive, and reliable AI applications easier than ever before with the OpenAI Responses API and GPT-5.

• BasicSkill Level
• 4.7+
• 144

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

• AdvancedSkill Level
• 4.5+
• 139

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

• IntermediateSkill Level
• 4.1+
• 136

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

• BasicSkill Level
• 4.7+
• 133

Master Gemini and NotebookLM to automate tasks, boost productivity, and work smarter across Googles AI ecosystem.

• BasicSkill Level
• 4.6+
• 133

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

• BasicSkill Level
• 4.6+
• 132

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

• IntermediateSkill Level
• 4.4+
• 132

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

• IntermediateSkill Level
• 4.3+
• 131

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

• AdvancedSkill Level
• 4.8+
• 130

Learn to process sensitive information with privacy-preserving techniques.

• IntermediateSkill Level
• 4.5+
• 128

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

• IntermediateSkill Level
• 4.5+
• 126

Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

• IntermediateSkill Level
• 4.2+
• 125

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

• IntermediateSkill Level
• 4.7+
• 120

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

• IntermediateSkill Level
• 4.5+
• 116

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

• IntermediateSkill Level
• 4.4+
• 115

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

• BasicSkill Level
• 4.3+
• 111

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

• IntermediateSkill Level
• 4.6+
• 110

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

• IntermediateSkill Level
• 4.7+
• 108

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

• IntermediateSkill Level
• 4.9+
• 107

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

• BasicSkill Level
• 4.7+
• 106

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