Data, AI, and Cloud Courses

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

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

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

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

Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

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

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

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

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

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

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

Improve data literacy skills by analyzing remote working policies.

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

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

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

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

Discover the different ways you can enhance your Power BI data importing skills.

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

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

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

Learn how to implement and schedule data engineering workflows.

Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

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

Leverage the OpenAI API to get your AI applications ready for production.

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

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

Discover what it takes to scale AI agents, with a little help from frameworks like MCP and A2A.

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

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

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