Data, AI, and Cloud Courses

• BasicSkill Level
• 4.8+
• 374

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

• IntermediateSkill Level
• 4.7+
• 373

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

• AdvancedSkill Level
• 4.6+
• 372

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

• IntermediateSkill Level
• 4.5+
• 368

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

• BasicSkill Level
• 4.6+
• 362

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

• IntermediateSkill Level
• 4.6+
• 360

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

• AdvancedSkill Level
• 4.6+
• 353

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

• IntermediateSkill Level
• 4.4+
• 352

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

• BasicSkill Level
• 4.8+
• 350

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

• BasicSkill Level
• 4.6+
• 350

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

• AdvancedSkill Level
• 4.6+
• 348

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
• 4.6+
• 346

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.

• IntermediateSkill Level
• 4.6+
• 344

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

• IntermediateSkill Level
• 4.5+
• 344

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

• BasicSkill Level
• 4.7+
• 343

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

• BasicSkill Level
• 4.6+
• 337

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

• IntermediateSkill Level
• 4.6+
• 336

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

• AdvancedSkill Level
• 4.5+
• 334

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

• AdvancedSkill Level
• 4.7+
• 333

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

• BasicSkill Level
• 4.5+
• 333

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

• IntermediateSkill Level
• 4.7+
• 330

Learn how to develop deep learning models with Keras.

• IntermediateSkill Level
• 4.8+
• 324

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

• IntermediateSkill Level
• 4.6+
• 324

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

• IntermediateSkill Level
• 4.6+
• 324

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

• IntermediateSkill Level
• 4.6+
• 323

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

• IntermediateSkill Level
• 4.4+
• 320

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

• IntermediateSkill Level
• 4.5+
• 318

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

• IntermediateSkill Level
• 4.6+
• 315

Learn how to segment customers in Python.

• IntermediateSkill Level
• 4.6+
• 315

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

• IntermediateSkill Level
• 4.3+
• 314

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