Data, AI, and Cloud Courses

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.

Take your Tableau skills up a notch with advanced analytics and visualizations.

Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

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

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

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

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

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

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

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

Master data modeling in Power BI.

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

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

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

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

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

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

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 how to implement and schedule data engineering workflows.

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

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

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

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

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

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

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

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