Data, AI, and Cloud Courses

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

Discover how to make better business decisions by applying practical data frameworks—no coding required.

Step right into the dynamic world of data modeling with Snowflake!

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

Learn to write cleaner, smarter Java code with methods, control flow, and loops.

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.

In this course you will learn the basics of machine learning for classification.

This course focuses on feature engineering and machine learning for time series data.

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Learn to process, transform, and manipulate images at your will.

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

Learn about string manipulation and become a master at using regular expressions.

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.