Data, AI, and Cloud Courses

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

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

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

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

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.

Improve data literacy skills by analyzing remote working policies.

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

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

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

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

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

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

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

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

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

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

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

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

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.

Learn how to implement and schedule data engineering workflows.

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

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

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.

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

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.