Data, AI, and Cloud Courses

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

Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.

Master data modeling in Power BI.

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

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

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

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

Learn how to implement and schedule data engineering workflows.

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

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

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

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

Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.

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

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

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

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

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

Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.

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

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

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

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

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

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

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

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

Learn how to work with dates and times in Python.

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

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