Data, AI, and Cloud Courses

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

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

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

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

Learn to combine data across multiple tables to answer more complex questions with dplyr.

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

Learn how to work with dates and times in Python.

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.

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

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

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

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

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 to manipulate and visualize categorical data using pandas and seaborn.

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

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

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

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Learn the fundamentals of working with big data with PySpark.

Understand the fundamentals of Machine Learning and how its applied in the business world.

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

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

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

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.

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

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

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

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.