Data, AI, and Cloud Courses

• AdvancedSkill Level
• 4.4+
• 325

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

• BasicSkill Level
• 4.8+
• 324

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

• IntermediateSkill Level
• 4.7+
• 322

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

• BasicSkill Level
• 4.4+
• 321

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

• IntermediateSkill Level
• 4.7+
• 320

Learn how to develop deep learning models with Keras.

• IntermediateSkill Level
• 4.7+
• 318

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

• IntermediateSkill Level
• 4.4+
• 314

Learn how to segment customers in Python.

• BasicSkill Level
• 4.4+
• 314

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

• BasicSkill Level
• 4.5+
• 313

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

• IntermediateSkill Level
• 4.5+
• 312

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

• AdvancedSkill Level
• 4.7+
• 311

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

• AdvancedSkill Level
• 4.4+
• 305

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

• BasicSkill Level
• 4.7+
• 302

• AdvancedSkill Level
• 4.2+
• 302

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

• BasicSkill Level
• 4.6+
• 301

Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.

• AdvancedSkill Level
• 4.6+
• 300

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

• IntermediateSkill Level
• 4.4+
• 296

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

• BasicSkill Level
• 4.8+
• 295

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

• IntermediateSkill Level
• 4.7+
• 295

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

• AdvancedSkill Level
• 4.3+
• 293

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

• BasicSkill Level
• 4.6+
• 292

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

• IntermediateSkill Level
• 4.5+
• 289

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

• AdvancedSkill Level
• 4.8+
• 288

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

• IntermediateSkill Level
• 4.6+
• 287

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

• IntermediateSkill Level
• 4.7+
• 285

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

• IntermediateSkill Level
• 4.3+
• 284

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

• BasicSkill Level
• 4.5+
• 282

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

• BasicSkill Level
• 4.6+
• 280

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

• BasicSkill Level
• 4.6+
• 278

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

• IntermediateSkill Level
• 4.5+
• 277

Learn how to use Python to analyze customer churn and build a model to predict it.