Data, AI, and Cloud Courses

• BasicSkill Level
• 4.6+
• 298

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

• BasicSkill Level
• 4.5+
• 297

Learn how to produce interactive web maps with ease using leaflet.

• AdvancedSkill Level
• 4.7+
• 294

Learn how to write recursive queries and query hierarchical data structures.

• IntermediateSkill Level
• 4.6+
• 294

Learn how to segment customers in Python.

• IntermediateSkill Level
• 4.8+
• 293

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

• IntermediateSkill Level
• 4.7+
• 293

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

• IntermediateSkill Level
• 4.6+
• 293

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

• AdvancedSkill Level
• 4.6+
• 288

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

• IntermediateSkill Level
• 4.6+
• 286

Develop the skills you need to clean raw data and transform it into accurate insights.

• BasicSkill Level
• 4.9+
• 285

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

• IntermediateSkill Level
• 4.5+
• 285

Learn how to identify, analyze, remove and impute missing data in Python.

• IntermediateSkill Level
• 4.7+
• 284

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

• BasicSkill Level
• 4.5+
• 284

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

• IntermediateSkill Level
• 4.5+
• 278

Learn to create, secure, and manage APIs with Azure API Management through hands-on practice.

• AdvancedSkill Level
• 4.8+
• 277

Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.

• IntermediateSkill Level
• 4.7+
• 275

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

• AdvancedSkill Level
• 4.6+
• 274

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

• IntermediateSkill Level
• 4.5+
• 270

Learn survey design using common design structures followed by visualizing and analyzing survey results.

• IntermediateSkill Level
• 4.3+
• 270

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

• IntermediateSkill Level
• 4.5+
• 267

Learn how to store, secure, scale, and process data in Azure using Blob Storage, Cosmos DB, queues, and event-driven services.

• IntermediateSkill Level
• 4.8+
• 265

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

• IntermediateSkill Level
• 4.6+
• 265

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

• BasicSkill Level
• 4.3+
• 262

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

• IntermediateSkill Level
• 4.5+
• 261

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

• BasicSkill Level
• 4.6+
• 260

Learn how to set up and manage your Microsoft Fabric infrastructure.

• BasicSkill Level
• 4.5+
• 258

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

• IntermediateSkill Level
• 4.4+
• 254

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

• AdvancedSkill Level
• 4.6+
• 252

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

• IntermediateSkill Level
• 4.6+
• 251

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

• BasicSkill Level
• 4.7+
• 250

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