Data, AI, and Cloud Courses

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

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

Learn how to detect fraud using Python.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

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

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

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

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

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

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

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

Analyze text data in R using the tidy framework.

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

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

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

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

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

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

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.

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

Learn to manipulate and analyze flexibly structured data with MongoDB.

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

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

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

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

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