Data, AI, and Cloud Courses

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

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

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

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

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

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.

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.

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.

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

Master data modeling in Power BI.

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

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.

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

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

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.

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

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

Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.