Data, AI, and Cloud Courses

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

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.

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

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

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

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

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

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

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.

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

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.

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

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

Master data modeling in Power BI.

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

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

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

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

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

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

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

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

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

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

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

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

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