Data, AI, and Cloud Courses

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

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

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

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

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

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

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

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

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

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

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

Learn to perform linear and logistic regression with multiple explanatory variables.

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

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

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

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

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

Transform almost any dataset into a tidy format to make analysis easier.

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

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

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

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