A Beginner-to-Upper Intermediate Data Science Roadmap for 2025 #2: Mathematics for Data Science
A Step-by-Step Roadmap to Start a Data Science Career In 2025
Whether you’re a recent graduate or a professional looking to make a career change, the field of Data Science and AI offers a wide range of exciting and lucrative opportunities.
In this series of articles, I will provide you with a comprehensive guide that provides a clear and actionable plan for building the skills and knowledge you need to succeed in this growing field. By following the steps outlined in this roadmap, you’ll be well on your way to a successful and rewarding career in Data Science and AI.
This roadmap will take you to an upper intermediate level, and I truly believe you can land a job and start your career after finishing it. However, to go to an advanced level, you will need to take more in-depth courses, books, and research papers.
For each learning step, there will be compulsory material, optional material, and action points to make sure you put what you have learned into action. Also, there will be an estimated time for each of the learning resources in hours so you can calculate the time needed to finish this roadmap depending on your pace.
In the second article of this series, you will learn the mathematical foundations needed to work in data science and understand machine learning and deep learning foundations. These mathematical foundations include statistics and probability, linear algebra, and calculus and optimization.
This article is the second article in the ongoing series of A Beginner-to-Upper Intermediate Data Science Roadmap for 2025:
Introduction to Data Science & Data Methodology (Published!)
Mathematics for Data Science (You are here!)
Software Engineering Basics (Coming Soon!)
Python Fundamentals & Python for Data Science (Coming Soon!)
Database & SQL (Coming Soon!)
Data Cleaning & Preprocessing (Coming Soon!)
Feature Engineering (Coming Soon!)
Mastering Machine Learning (Coming Soon!)
Deep Learning Fundamentals (Coming Soon!)
Generative AI & Large Language Models (LLMs) Fundamentals (Coming Soon!)
Machine Learning Operations (MLOps) (Coming Soon!)
Building Your Data Science Portfolio (Coming Soon!)
Getting Ready for the Market (Coming Soon!)