Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.7+
• 424

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

• IntermediateSkill Level
• 4.7+
• 422

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

• IntermediateSkill Level
• 4.5+
• 414

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

• IntermediateSkill Level
• 4.4+
• 412

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

• IntermediateSkill Level
• 4.7+
• 408

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+
• 407

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

• IntermediateSkill Level
• 4.5+
• 407

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

• IntermediateSkill Level
• 4.5+
• 405

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

• IntermediateSkill Level
• 4.6+
• 387

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

• IntermediateSkill Level
• 4.5+
• 382

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
• 4.7+
• 379

Learn the essentials of parsing, manipulating and computing with dates and times in R.

• IntermediateSkill Level
• 4.6+
• 370

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

• IntermediateSkill Level
• 4.5+
• 370

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

• IntermediateSkill Level
• 4.6+
• 368

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

• IntermediateSkill Level
• 4.5+
• 366

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

• IntermediateSkill Level
• 4.7+
• 363

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

• IntermediateSkill Level
• 4.5+
• 363

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

• IntermediateSkill Level
• 4.2+
• 363

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+
• 358

Learn how to develop deep learning models with Keras.

• IntermediateSkill Level
• 4.3+
• 355

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

• IntermediateSkill Level
• 4.7+
• 354

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

• IntermediateSkill Level
• 4.6+
• 343

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
• 4.7+
• 339

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

• IntermediateSkill Level
• 4.5+
• 334

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

• IntermediateSkill Level
• 4.6+
• 330

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

• IntermediateSkill Level
• 4.7+
• 322

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

• IntermediateSkill Level
• 4.4+
• 318

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

• IntermediateSkill Level
• 4.7+
• 312

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

• IntermediateSkill Level
• 4.5+
• 312

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

• IntermediateSkill Level
• 4.6+
• 309

Learn how to segment customers in Python.