Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.5+
• 189

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

• AdvancedSkill Level
• 4.6+
• 187

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

• BasicSkill Level
• 4.6+
• 187

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

• IntermediateSkill Level
• 4.6+
• 184

This course is for R users who want to get up to speed with Python!

• IntermediateSkill Level
• 4.6+
• 182

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

• IntermediateSkill Level
• 4.6+
• 182

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

• AdvancedSkill Level
• 4.2+
• 182

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

• IntermediateSkill Level
• 4.6+
• 179

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

• BasicSkill Level
• 4.8+
• 178

Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

• IntermediateSkill Level
• 4.8+
• 177

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

• BasicSkill Level
• 4.3+
• 176

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

• AdvancedSkill Level
• 4.5+
• 174

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

• IntermediateSkill Level
• 4.5+
• 172

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

• BasicSkill Level
• 4.6+
• 168

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

• BasicSkill Level
• 4.5+
• 168

Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.

• IntermediateSkill Level
• 4.6+
• 166

Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.

• BasicSkill Level
• 4.7+
• 165

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

• AdvancedSkill Level
• 4.8+
• 162

Use survival analysis to work with time-to-event data and predict survival time.

• IntermediateSkill Level
• 4.7+
• 162

Learn how to access financial data from local files as well as from internet sources.

• IntermediateSkill Level
• 4.6+
• 162

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

• IntermediateSkill Level
• 4.2+
• 161

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

• IntermediateSkill Level
• 4.8+
• 160

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

• BasicSkill Level
• 4.6+
• 159

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

• IntermediateSkill Level
• 4.3+
• 159

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

• AdvancedSkill Level
• 4.5+
• 158

In this course youll learn techniques for performing statistical inference on numerical data.

• BasicSkill Level
• 4.5+
• 158

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

• BasicSkill Level
• 4.8+
• 156

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

• IntermediateSkill Level
• 4.6+
• 155

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

• IntermediateSkill Level
• 3.8+
• 153

Learn the bag of words technique for text mining with R.

• IntermediateSkill Level
• 4.3+
• 151

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