A Beginner-to-Upper Intermediate Data Science Roadmap for 2025 #3: Python Fundamentals
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 third article of this series, you will learn the Python foundations needed to work in data science or the tech field in general. These Python foundations include Data structures, Functions, Control flow, Error handling, Testing, logging, debugging, dependency management, Design patterns, and Object-oriented programming.
This article is the third article in the ongoing series of A Beginner-to-Upper Intermediate Data Science Roadmap for 2025:
Introduction to Data Science & Data Methodology (Published!)
Python Fundamentals (You are here!)
Python for Data Science (Coming Soon!)
Software Engineering Basics (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!)