Data, AI, and Cloud Courses

• AdvancedSkill Level
• 4.6+
• 352

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

• BasicSkill Level
• 4.6+
• 351

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

• BasicSkill Level
• 4.6+
• 348

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

• BasicSkill Level
• 4.5+
• 348

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

• IntermediateSkill Level
• 4.5+
• 342

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

• BasicSkill Level
• 4.4+
• 340

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

• IntermediateSkill Level
• 4.5+
• 337

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

• IntermediateSkill Level
• 4.6+
• 336

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

• IntermediateSkill Level
• 5.0+
• 335

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

• IntermediateSkill Level
• 4.0+
• 335

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

• IntermediateSkill Level
• 4.2+
• 331

Learn how to efficiently collect and download data from any website using R.

• BasicSkill Level
• 4.5+
• 328

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

• BasicSkill Level
• 4.4+
• 328

Get inspired by AI tools to automate prospecting, draft personalized emails, and streamline CRM tasks using Microsoft Copilot for sales.

• IntermediateSkill Level
• 4.6+
• 327

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

• BasicSkill Level
• 4.7+
• 325

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

• AdvancedSkill Level
• 4.6+
• 325

This course covers everything you need to know to build a basic machine learning monitoring system in Python

• IntermediateSkill Level
• 4.7+
• 323

Learn how to pull character strings apart, put them back together and use the stringr package.

• IntermediateSkill Level
• 4.6+
• 322

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

• BasicSkill Level
• 4.8+
• 321

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

• IntermediateSkill Level
• 4.7+
• 318

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

• BasicSkill Level
• 4.7+
• 316

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

• IntermediateSkill Level
• 4.5+
• 313

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

• IntermediateSkill Level
• 4.6+
• 312

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

• IntermediateSkill Level
• 4.8+
• 310

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

• AdvancedSkill Level
• 4.7+
• 310

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

• IntermediateSkill Level
• 4.7+
• 307

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

• AdvancedSkill Level
• 4.5+
• 307

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

• IntermediateSkill Level
• 4.4+
• 300

In this course youll learn about basic experimental design, a crucial part of any data analysis.

• IntermediateSkill Level
• 4.6+
• 299

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

• AdvancedSkill Level
• 4.4+
• 297

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