Data, AI, and Cloud Courses

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

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

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.

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

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

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

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

Learn how to detect fraud using Python.

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

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

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

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

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

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.

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

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

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

Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.

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

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

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

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

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

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

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

Learn to manipulate and analyze flexibly structured data with MongoDB.

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

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