Data, AI, and Cloud Courses

Learn about string manipulation and become a master at using regular expressions.

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

Learn to process, transform, and manipulate images at your will.

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Take your R skills up a notch by learning to write efficient, reusable functions.

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Learn to perform linear and logistic regression with multiple explanatory variables.

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

Create new features to improve the performance of your Machine Learning models.

Build the foundation you need to think statistically and to speak the language of your data.

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Discover how to make better business decisions by applying practical data frameworks—no coding required.

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

This course focuses on feature engineering and machine learning for time series data.

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

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

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Learn to perform linear and logistic regression with multiple explanatory variables.

Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.

Learn the fundamentals of data visualization using Google Sheets.