Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.6+
• 309

Master Amazon Redshifts SQL, data management, optimization, and security.

• IntermediateSkill Level
• 4.7+
• 308

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.

• IntermediateSkill Level
• 4.6+
• 306

Learn how to develop deep learning models with Keras.

• IntermediateSkill Level
• 4.8+
• 305

Learn to solve increasingly complex problems using simulations to generate and analyze data.

• IntermediateSkill Level
• 4.7+
• 304

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

• BasicSkill Level
• 4.4+
• 303

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

• AdvancedSkill Level
• 4.3+
• 303

Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.

• BasicSkill Level
• 4.5+
• 302

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

• IntermediateSkill Level
• 4.3+
• 302

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

• IntermediateSkill Level
• 4.6+
• 296

Learn how to segment customers in Python.

• AdvancedSkill Level
• 4.7+
• 295

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

• AdvancedSkill Level
• 4.8+
• 292

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

• BasicSkill Level
• 4.5+
• 286

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

• IntermediateSkill Level
• 4.5+
• 285

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

• IntermediateSkill Level
• 4.3+
• 284

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

• BasicSkill Level
• 4.7+
• 283

Build interactive AI apps in Sigma using user input, actions, and polished interfaces, no coding required.

• IntermediateSkill Level
• 4.6+
• 283

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

• IntermediateSkill Level
• 4.5+
• 282

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

• BasicSkill Level
• 4.5+
• 280

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

• IntermediateSkill Level
• 4.6+
• 277

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

• BasicSkill Level
• 4.5+
• 274

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

• IntermediateSkill Level
• 4.5+
• 272

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

• BasicSkill Level
• 4.7+
• 271

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

• IntermediateSkill Level
• 4.7+
• 269

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

• IntermediateSkill Level
• 4.5+
• 269

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

• IntermediateSkill Level
• 4.8+
• 267

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

• AdvancedSkill Level
• 4.6+
• 264

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

• BasicSkill Level
• 4.6+
• 264

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

• IntermediateSkill Level
• 4.4+
• 263

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

• BasicSkill Level
• 4.5+
• 262

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