Data, AI, and Cloud Courses

• BasicSkill Level
• 4.4+
• 318

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

• IntermediateSkill Level
• 4.7+
• 317

Learn how to develop deep learning models with Keras.

• IntermediateSkill Level
• 4.5+
• 313

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

• IntermediateSkill Level
• 4.5+
• 313

Learn how to segment customers in Python.

• AdvancedSkill Level
• 4.2+
• 313

Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.

• AdvancedSkill Level
• 4.6+
• 311

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

• AdvancedSkill Level
• 4.6+
• 309

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

• BasicSkill Level
• 4.8+
• 306

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

• BasicSkill Level
• 4.5+
• 302

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

• AdvancedSkill Level
• 4.4+
• 302

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

• IntermediateSkill Level
• 4.5+
• 299

Integrate AI/LLM applications with APIs, databases, and filesystems easier than ever before with the Model Context Protocol (MCP).

• IntermediateSkill Level
• 4.3+
• 296

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

• IntermediateSkill Level
• 4.6+
• 293

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

• IntermediateSkill Level
• 4.7+
• 292

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

• IntermediateSkill Level
• 4.7+
• 290

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

• AdvancedSkill Level
• 4.8+
• 288

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

• IntermediateSkill Level
• 4.6+
• 286

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

• IntermediateSkill Level
• 4.5+
• 280

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

• IntermediateSkill Level
• 4.7+
• 279

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

• IntermediateSkill Level
• 4.4+
• 279

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

• BasicSkill Level
• 4.5+
• 277

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

• BasicSkill Level
• 4.8+
• 276

This course provides an overview of the opportunities and challenges companies encounter in their digital transformation journey.

• BasicSkill Level
• 4.6+
• 272

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

• IntermediateSkill Level
• 4.5+
• 272

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

• BasicSkill Level
• 4.5+
• 272

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

• IntermediateSkill Level
• 4.7+
• 268

Learn how to design and implement triggers in SQL Server using real-world examples.

• IntermediateSkill Level
• 4.5+
• 268

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+
• 267

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

• IntermediateSkill Level
• 4.6+
• 267

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

• BasicSkill Level
• 4.6+
• 267

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.