Courses

Discover the basics of data science and learn how to analyze data using simple, practical examples.

Prerequisites: Some basic programming knowledge is recommended.

Level: Beginner

Master the basics of SQL to unlock the power of data in science and analytics. This course guides you through fundamental SQL concepts and queries, ensuring you can handle data with confidence.

Prerequisites: No prior knowledge of SQL is required. A basic understanding of data and databases is helpful but not necessary.

Level: Beginner

A beginner's guide to understanding the basics of machine learning and its core principles.

Prerequisites: No prior knowledge of machine learning or programming is required.

Level: Beginner

Learn the basics of computer vision and discover how machines interpret visual data, enabling applications from image recognition to video analysis.

Prerequisites: None. This course is designed for beginners with no prior knowledge of computer vision.

Level: Beginner

Master the basics of data visualization with Matplotlib and Seaborn, and learn to create stunning visual representations of data.

Prerequisites: Basic knowledge of Python programming.

Level: Beginner

Master the basics of linear algebra and its relevance in machine learning with this comprehensive beginner's guide.

Prerequisites: No prior knowledge of linear algebra is required.

Level: Beginner

Learn the essentials of probability and statistics to kickstart your journey into machine learning.

Prerequisites: No prior knowledge required.

Level: Beginner

Learn the calculus essentials for machine learning in this beginner-level course, perfect for newcomers to the field.

Prerequisites: No prior knowledge of calculus is required. Basic mathematical skills are recommended.

Level: Beginner

Learn Python from scratch with this beginner-friendly course. Perfect for those new to programming.

Prerequisites: No prior programming experience required. Suitable for complete beginners.

Level: Beginner

Learn the essentials of Numpy and Pandas for data manipulation and analysis. This beginner-friendly course covers key concepts and practical tips for effective data handling.

Prerequisites: Basic understanding of Python programming.

Level: Beginner