A Beginner-to-Upper Intermediate Data Science Roadmap for 2025 #5: Software Engineering Basics 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.

In the fifth article of this series, you will learn the fundamentals of Software Engineering Basics for Data Science. The resources cover software engineering and clearly explain how to apply the best practices from software engineering to data science, Version Control, Infrastructure & Resource Management, and Linux Basics & Shell Scripting.

Data scientists are software engineers first and foremost. They may not be coding machine learning models or natural language processing algorithms on a day-to-day basis, but their work as data scientists requires software engineering and programming skills to apply all the data science project life cycles on the data.

In addition to that, they should be able to understand users' needs and develop solutions for those needs, which is essential for any data scientist working in an organization.

This article is the fifth 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 (Published!)

• Python Fundamentals (Published!)

• Python for Data Science (Published!)

• Software Engineering Basics for Data Science (You are here!)

• 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!)

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