Learn about the world of data science first-hand from real data scientists.

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in Data Engineering, Data Analytics or Data Science.

This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis.

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.

Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.

Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.

This course will teach you about the Power BI visual analysis features so that you have the knowledge and know how to apply this and answer related questions in the PL-300 exam.

Identifying and defining business challenges is crucial for developing data science solutions and aligning stakeholders. This course teaches you to recognize key problems that data science can address.

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

Learn to implement image recognition algorithms using machine learning techniques, focusing on practical applications and projects.

Discover techniques for image recognition using machine learning, focusing on model training, evaluation, and real-world applications.