Data, AI, and Cloud Courses

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

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

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

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

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

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

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

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

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

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

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

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

Learn the key components of building a strong data culture within an organization.

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

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

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

Learn how to implement and schedule data engineering workflows.

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

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

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

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.

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

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

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

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

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

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

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