Mathematics for IT: Free Online Courses to Improve Your Skills

Mathematics is a key component for many areas in IT: from algorithm development to machine learning. In our review, we have gathered free online courses that will help IT professionals improve their mathematical skills.

Published 2 min read

Mathematical Skills for Data Science from Duke University

This course teaches students the foundational mathematical skills needed for data science, gradually introducing mathematical concepts and notation. Students will master algebraic concepts and rules necessary for further study of more advanced topics.

Duration: 13 hours

Mathematics for Machine Learning and Data Science from DeepLearning.AI

This course focuses on the tools of artificial intelligence and machine learning. It covers fundamental mathematical topics such as calculus, linear algebra, statistics, and probability, which are essential for machine learning and data science.

Duration: 3 months

Introduction to Mathematical Thinking from Stanford

This course helps develop the critical way of thinking characteristic of mathematicians. You will learn to approach problem-solving like professional mathematicians by tackling real-world problems.

Duration: 1 month

Linear Algebra from Stanford

This YouTube course on linear algebra is an essential part of the mathematical training for professionals working with big data, computer graphics, or artificial intelligence. The course covers key concepts of linear algebra, such as matrices, vectors, systems of equations, and their solutions.

Duration: 54 lessons

Trigonometry and Statistics on Khan Academy

Two math courses cover topics such as trigonometry, statistics, probability, and the fundamentals of algebra. These skills are crucial for data analysts and machine learning specialists. The easily digestible materials include interactive exercises to help reinforce what you have learned. Suitable for beginners and students.

Duration: 11 topics

Essential Math for AI from Columbia University

This course is recommended for those who want to gain solid knowledge in statistics, linear algebra, multivariable calculus, probability, and fundamental mathematical topics. Students can engage with mathematical and technical course materials and complete self-assessments.

Duration: 2 weeks

Analyzing Data with Python from IBM

This course teaches data analysis in Python using numpy, pandas, SciPy, and scikit-learn. You will learn the basics of Python, working with multidimensional arrays and DataFrames, statistical analysis, creating visualizations, and predicting trends based on data. The course includes lectures, practical assignments, and will help you prepare data for analysis and perform machine learning.

Duration: 5 weeks