Data, AI, and Cloud Courses

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

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

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

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

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

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

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

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

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

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

Improve data literacy skills by analyzing remote working policies.

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.

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

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

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

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

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

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

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

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

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.

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

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

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

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

Learn how to implement and schedule data engineering workflows.

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

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.