Data, AI, and Cloud Courses

Data-driven organizations consistently rely on insights to inspire action and drive change.

This course will take you from Snowflakes foundational architecture to mastering advanced SnowSQL techniques.

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

Improve your Python data importing skills and learn to work with web and API data.

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.

Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.

Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.

Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

Master data modeling in Power BI.

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

Take your Tableau skills up a notch with advanced analytics and visualizations.

Discover branches and remote repos for version control in collaborative software and data projects using Git!

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

In this course, youll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.

Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.