Data, AI, and Cloud Courses

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

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

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

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

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

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

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

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

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

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

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

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

Learn how to implement and schedule data engineering workflows.

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

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

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

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

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

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

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

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

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

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

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

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

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

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

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

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

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