Data, AI, and Cloud Courses

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

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

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

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

Master data modeling in Power BI.

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

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

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

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.

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

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.

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

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

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

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

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

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 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 and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

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

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

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

Learn how to implement and schedule data engineering workflows.

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!

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.

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