Data, AI, and Cloud Courses

Using Python and NumPy, learn the most fundamental financial concepts.

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Learn how to detect fraud using Python.

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

Learn the core techniques necessary to extract meaningful insights from time series data.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

In this course youll learn to use and present logistic regression models for making predictions.

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Learn key financial concepts such as capital investment, WACC, and shareholder value.

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.

Learn how to work with streaming data using serverless technologies on AWS.

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

In this course, youll learn how to import and manage financial data in Python using various tools and sources.