Data, AI, and Cloud Courses

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

Snowflake is a top data warehousing platform. Learn how they use Snowsight, a user-friendly SQL interface for accessing and exploring data.

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

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

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

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

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

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

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

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

Learn how to analyze a SQL table and report insights to management.

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

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

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

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

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

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

Master data modeling in Power BI.

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

Learn how to implement and schedule data engineering workflows.

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

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

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

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

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

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

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

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.