Data, AI, and Cloud Courses

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

Learn how to transform and analyze data within your Microsoft Fabric account

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

This course covers everything you need to know to build a basic machine learning monitoring system in Python

Discover how to use the income statement and balance sheet in Power BI

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

Master Amazon Redshifts SQL, data management, optimization, and security.

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

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

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

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

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Learn to build pipelines that stand the test of time.

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

In this course youll learn about basic experimental design, a crucial part of any data analysis.

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

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

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

This course is for R users who want to get up to speed with Python!

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

In this course you will learn to fit hierarchical models with random effects.

Learn to build recommendation engines in Python using machine learning techniques.

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.