Data, AI, and Cloud Courses

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

Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

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

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

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

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

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Master data modeling in Power BI.

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

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

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

Learn how to analyze a SQL table and report insights to management.

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