Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.6+
• 571

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

• BasicSkill Level
• 4.6+
• 569

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

• IntermediateSkill Level
• 4.6+
• 568

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

• IntermediateSkill Level
• 4.5+
• 568

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

• BasicSkill Level
• 4.4+
• 566

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

• IntermediateSkill Level
• 4.6+
• 565

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

• IntermediateSkill Level
• 4.6+
• 558

In this course, students will learn to write queries that are both efficient and easy to read and understand.

• BasicSkill Level
• 4.4+
• 558

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

• IntermediateSkill Level
• 4.7+
• 556

Analyze text data in R using the tidy framework.

• BasicSkill Level
• 4.6+
• 551

Master AI for marketing to plan smarter campaigns, create quality content, and build custom AI agents.

• BasicSkill Level
• 4.7+
• 548

Supercharge your consulting workflows with AI! Research, analyze, and communicate more productively and effectively.

• AdvancedSkill Level
• 4.7+
• 548

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

• IntermediateSkill Level
• 4.6+
• 548

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

• AdvancedSkill Level
• 4.6+
• 541

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

• AdvancedSkill Level
• 4.7+
• 540

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

• BasicSkill Level
• 4.7+
• 539

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

• IntermediateSkill Level
• 4.7+
• 538

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

• IntermediateSkill Level
• 4.6+
• 536

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

• AdvancedSkill Level
• 4.7+
• 533

Learn about ARIMA models in Python and become an expert in time series analysis.

• IntermediateSkill Level
• 4.5+
• 530

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

• IntermediateSkill Level
• 4.6+
• 522

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

• IntermediateSkill Level
• 4.6+
• 522

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+
• 520

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

• AdvancedSkill Level
• 4.7+
• 518

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

• IntermediateSkill Level
• 4.6+
• 517

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

• BasicSkill Level
• 4.6+
• 516

Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.

• IntermediateSkill Level
• 4.5+
• 516

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

• BasicSkill Level
• 4.6+
• 512

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

• IntermediateSkill Level
• 4.5+
• 508

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

• AdvancedSkill Level
• 4.5+
• 496

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.