A Beginner to Upper Intermediate Data Science Roadmap

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 book, I will provide you with a comprehensive guide that will provide you 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 career in Data Science & 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.

Brief of Contents:

• Introduction to Data Science & Data Methodology
• Mathematics for Data Science
• Python Fundamentals
• Python for Data Science
• Software Engineering Basics
• Database & SQL Fundamentals
• Feature Engineering
• Mastering Machine Learning
• Deep Learning Fundamentals
• Generative AI & Large Language Models (LLMs) Fundamentals
• Machine Learning Operations (MLOps)
• Building Your Data Science Portfolio
• Getting Ready for the Market