Data, AI, and Cloud Courses

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

Discover the world of Amazon Web Services (AWS) and understand why its at the forefront of cloud computing.

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

Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.

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.

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

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.

Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.

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

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

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

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

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

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

Learn the key components of building a strong data culture within an organization.

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

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

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

Learn about the power of Microsoft Azure and cloud computing software to help you improve your data engineering skills.

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

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

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

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

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

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

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

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

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.