Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.6+
• 375

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

• IntermediateSkill Level
• 4.4+
• 373

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

• IntermediateSkill Level
• 4.5+
• 372

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

• IntermediateSkill Level
• 4.6+
• 369

Visualize seasonality, trends and other patterns in your time series data.

• IntermediateSkill Level
• 4.4+
• 366

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

• IntermediateSkill Level
• 4.5+
• 355

Learn how to identify, analyze, remove and impute missing data in Python.

• IntermediateSkill Level
• 4.5+
• 346

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

• IntermediateSkill Level
• 4.8+
• 342

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

• IntermediateSkill Level
• 4.6+
• 342

Build AI teams that work together, automate workflows, and generate content with CrewAI.

• IntermediateSkill Level
• 4.6+
• 341

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

• 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.

• 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.

• IntermediateSkill Level
• 4.5+
• 305

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

• 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.

• 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.

• IntermediateSkill Level
• 4.3+
• 277

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

• IntermediateSkill Level
• 4.7+
• 276

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

• IntermediateSkill Level
• 4.5+
• 276

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

• IntermediateSkill Level
• 4.6+
• 274

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
• 4.3+
• 273

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