Courses

Introduction to Data Science

Learn the fundamentals of data science and how to analyze data through simple, practical examples.

Prerequisites: Some basic programming knowledge is recommended.

Level: Beginner

Data Science
SQL for Data Science

Master the basics of SQL to get into 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

Data Science
Introduction to Machine Learning

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

Machine Learning
Introduction to Computer Vision

Learn the fundamentals of computer vision and understand 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

Machine Learning
Data Visualization with Matplotlib and Seaborn

Learn the fundamentals of data visualization using Matplotlib and Seaborn, and discover how to craft compelling visual representations of data.

Prerequisites: Basic knowledge of Python programming.

Level: Beginner

Machine Learning
Getting Started With Git

Learn the fundamentals of Git and version control, critical tools for developers and collaborative programming.

Prerequisites: No prior knowledge of Git or version control systems is required.

Level: Beginner

Machine Learning
Linear Algebra Fundamentals for Machine Learning

Learn the fundamentals of linear algebra and its significance in machine learning with this complete beginner's guide.

Prerequisites: No prior knowledge of linear algebra is required.

Level: Beginner

Mathematics
Probability & Statistics Fundamentals for Machine Learning

Learn the essentials of probability and statistics to start your path into machine learning.

Prerequisites: No prior knowledge required.

Level: Beginner

Mathematics
Calculus Fundamentals for Machine Learning

Learn the calculus essentials for machine learning in this starter course, perfect for newcomers to the area.

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

Level: Beginner

Mathematics
Python for Beginners

Start learning Python from scratch with this beginner-friendly course. Ideal for those new to programming.

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

Level: Beginner

Programming

Learning Roadmap ⭐️

Not sure where to start?

Follow a clear, structured path designed to take you from beginner to achieving your ML goals.

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