We all work with data — but often don’t consider the big picture around it. In this fast-paced, practical introduction, quickly get up to speed on multiple ideas, tools and technologies around “data” in the business world today.

This is a course for beginners to master database design, relational databases, and SQL to fully exploit the advantages of a modern database system.

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

This course will teach you how to make the best use of Databricks assets such as notebooks, clusters, and repos to simplify the development and management of your big data applications.

This course will teach you advanced parts of this library. When you’re finished with this course, you’ll have the skills and knowledge of DataFrames and Pandas needed to analyze your data with Pandas.

This course provides hands-on experience dealing with imbalanced data in machine learning, which is critical for machine learning algorithms.

This course provides hands-on experience dealing with imbalanced data in machine learning, which is critical for machine learning algorithms.

Learn how to identify, analyze, remove and impute missing data in Python.

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

This course will answer all your queries about starting your career in data science.

Gain expertise in object detection using the YOLO algorithm, focusing on implementation and real-time applications.

This course provides a comprehensive approach to understanding and managing a database management system and acing database internals.