Data, AI, and Cloud Courses

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

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

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

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 translate business questions to well-formed analytical questions and select the right analytical solutions.

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

This course introduces dbt for data modeling, transformations, testing, and building documentation.

Learn how to implement and schedule data engineering workflows.

Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

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

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

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

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

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

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

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

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

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

Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

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

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

Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.

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.