Identifying fundamental math skills for aspiring data scientists
Data science is undoubtedly one of the most fascinating fields today. Following significant breakthroughs in machine learning about a decade ago, data science has surged in popularity within the tech community. Each year, we witness increasingly powerful tools that once seemed unimaginable. Innovations such as the Transformer architecture, ChatGPT, the Retrieval-Augmented Generation (RAG) framework, and state-of-the-art computer vision models — including GANs — have had a profound impact on our world.
However, with the abundance of tools and the ongoing hype surrounding AI, it can be overwhelming — especially for beginners — to determine which skills to prioritize when aiming for a career in data science. Moreover, this field is highly demanding, requiring substantial dedication and perseverance.
In this article, I aim to present a detailed roadmap outlining the key areas in math to focus on when starting your journey in data science.
This article will focus solely on the math skills necessary to start a career in Data Science. Whether pursuing this path is a worthwhile choice based on your background and other factors will be…
