Data, AI, and Cloud Courses

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

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

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

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

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

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

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

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

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

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

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

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

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

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

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

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

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

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 the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

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

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

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

Master data modeling in Power BI.

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

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

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

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

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.