Data, AI, and Cloud Courses

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

Improve your Python data importing skills and learn to work with web and API data.

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

Improve data literacy skills by analyzing remote working policies.

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

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

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

Learn how to implement and schedule data engineering workflows.

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

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

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

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

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