🧵: Why software engineering is a must-have skill for data scientists!
Are you a data scientist? Are you only focusing on data analysis, machine learning algorithms, and statistics? If so, you're missing out on one of the most critical skills: software engineering!
Here's why software engineering is essential for data scientists:
Production-Ready Code: Data scientists are responsible for developing models that work in production.
Writing production-ready code requires software engineering skills to ensure your code is reliable, efficient, and scalable.
Collaborative Work: Data science is often a team sport.
Understanding software engineering principles can make collaborating with developers and engineers much more comfortable, improving the overall workflow and output.
Code Maintenance: Data science projects can be complex, and models can be hard to maintain.
Good software engineering practices can help with maintaining code quality and ensuring that models can be updated and improved over time.
Future-Proof Your Career: Technology is rapidly evolving, and data science is no exception.
Software engineering skills can help you stay current with emerging technologies and remain competitive in the job market.
Don't neglect software engineering skills as a data scientist.
Embrace them, and you'll be able to build better models, collaborate more effectively, and future-proof your career!
#DataScience #SoftwareEngineering #MachineLearning #Programming #Coding #Technology #CareerAdvice #OnlineLearning #SkillBuilding
Bonus: Best courses to help you get started or advance your skills in software engineering.
1. Harvard's CS50: Introduction to Computer Science - This is a beginner-level course that covers programming concepts, data structures, and algorithms.
edx.org/course/introdu…
2. Stanford's CS106A: Programming Methodology - This is another beginner-level course that teaches the fundamentals of computer programming using the Java programming language.
web.stanford.edu/class/cs106a/
3. MIT's 6.0001: Introduction to Computer Science and Programming in Python - This course is designed for beginners and covers the basics of programming in Python, as well as algorithms and data structures.
ocw.mit.edu/courses/6-0001…
4. Coursera's Algorithms, Part I and Part II - These are two intermediate-level courses that cover algorithms and data structures in-depth.
in.coursera.org/learn/algorith…
in.coursera.org/learn/algorith…
Whether you're a data scientist looking to expand your skillset or someone interested in software engineering, these courses are a great place to start. Happy learning!
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