Data, AI, and Cloud Courses

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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