Data, AI, and Cloud Courses

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.

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

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.

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

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

Create new features to improve the performance of your Machine Learning models.

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

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

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

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

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

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

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

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