Hi, i am getting started in data science and me need help in maths. What will be me needs learn in maths? 1 course student…
3 Likes
Sorry, if my eng language is so bad, i am live in Russia
Hi! I found the this to be super helpful in prepping for my master’s in analytics: https://www.coursera.org/specializations/mathematics-machine-learning (Imperial College London Mathematics for Machine Learning Specialization)
The material provided a great overview of linear algebra and other concepts, specifically with machine learning use cases in mind.
Happy learning!
6 Likes
If you’re starting in data science, the key math areas you should focus on are linear algebra, probability, statistics, and basic calculus. You don’t need to master everything at once just build a strong foundation. Linear algebra helps you understand algorithms like PCA; probability and statistics are essential for working with data, distributions, and models; and calculus gives you the intuition behind optimization and how learning algorithms adjust themselves. Start with the basics, practice with simple examples, and gradually move toward more applied topics like regression, classification, and machine learning math. As a first-course student, consistency matters more than speed learn steadily and connect each math topic with real data science tasks so it feels practical and easier to understand.