Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.6+
• 341

Learn to build recommendation engines in Python using machine learning techniques.

• AdvancedSkill Level
• 4.5+
• 340

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

• AdvancedSkill Level
• 4.6+
• 336

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

• IntermediateSkill Level
• 4.7+
• 335

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

• IntermediateSkill Level
• 4.7+
• 333

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.

• IntermediateSkill Level
• 4.6+
• 331

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

• BasicSkill Level
• 4.8+
• 328

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

• AdvancedSkill Level
• 4.6+
• 325

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

• BasicSkill Level
• 4.6+
• 325

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

• BasicSkill Level
• 4.8+
• 324

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

• AdvancedSkill Level
• 4.6+
• 324

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

• IntermediateSkill Level
• 4.5+
• 321

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

• IntermediateSkill Level
• 4.8+
• 319

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

• IntermediateSkill Level
• 4.6+
• 319

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

• IntermediateSkill Level
• 4.5+
• 319

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

• IntermediateSkill Level
• 4.5+
• 315

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

• IntermediateSkill Level
• 4.7+
• 314

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

• BasicSkill Level
• 4.6+
• 313

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

• IntermediateSkill Level
• 4.5+
• 305

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

• BasicSkill Level
• 4.6+
• 302

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

• IntermediateSkill Level
• 4.7+
• 300

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

• IntermediateSkill Level
• 4.6+
• 296

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

• IntermediateSkill Level
• 4.6+
• 293

Learn how to segment customers in Python.

• BasicSkill Level
• 4.7+
• 291

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

• BasicSkill Level
• 4.7+
• 287

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

• AdvancedSkill Level
• 4.5+
• 287

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

• AdvancedSkill Level
• 4.7+
• 284

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

• IntermediateSkill Level
• 4.7+
• 282

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+
• 281

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

• BasicSkill Level
• 4.6+
• 280

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.