Data, AI, and Cloud Courses

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

Learn how to work with dates and times in Python.

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

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

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

Learn how to clean and prepare your data for machine learning!

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

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

Learn to retrieve and parse information from the internet using the Python library scrapy.

Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.

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

Learn how to manipulate and visualize categorical data using pandas and seaborn.

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

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

Get to grips with the foundational components of LangChain agents and build custom chat agents.

Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.

Learn the fundamentals of working with big data with PySpark.

This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.

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

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 how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

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

In this course youll learn the basics of working with time series data.

Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.