Data, AI, and Cloud Courses

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

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.

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.

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

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

Improve data literacy skills by analyzing remote working policies.

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.

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

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

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

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

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

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

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

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

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

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

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.

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.

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.

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

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