A Beginner-to-Upper Intermediate Data Science Roadmap for 2025 #10: Deep Learning Fundamentals
A Step-by-Step Roadmap to Start a Data Science Career In 2025
Deep learning has become an essential skill for data scientists, enabling breakthroughs in fields like computer vision, natural language processing, and generative AI. This article, the tenth installment in the Beginner-to-Upper Intermediate Data Science Roadmap for 2025, focuses on the fundamentals of deep learning.
The roadmap introduces carefully curated courses that guide learners from foundational neural networks to specialized applications in NLP and computer vision.
It begins with Andrew Ng’s Deep Learning Specialization to establish core concepts. This is followed by targeted courses on NLP and vision, which help learners gain hands-on experience with architectures like transformers, CNNs, and RNNs.
The article includes additional resources, such as Stanford’s CS231n and CS224n courses, as well as essential deep learning books, to further enhance learning. By the end, readers will have a structured path to mastering deep learning and applying it to real-world projects.
This article is the Tenth article in the ongoing series of A Beginner-to-Upper Intermediate Data Science Roadmap for 2025:
Introduction to Data Science & Data Methodology (Published!)
Deep Learning Fundamentals (You are here!)
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!)
Whether you’re a recent graduate or a professional looking to make a career change, Data Science and AI offer a wide range of exciting and lucrative opportunities.
In this series of articles, I will provide a comprehensive guide with 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 Data Science and AI career.
This roadmap will take you to an upper intermediate level, and you can land a job and start your career after finishing it. However, to go to an advanced level, you must take more in-depth courses, books, and research papers.
For each learning step, there will be compulsory material, optional material, and action points to ensure that you implement what you have learned Also, each of the learning resources will be estimated in hours, so you can calculate the time needed to finish this roadmap based on your pace.