There is a saying don’t bring a knife to a gunfight. I say why not bring both. Learning to code is a very good thing. It allows you to have the knife and the gun.
As a Senior Data Scientist, I am often called upon to take data in various formats and do some type of analysis on it. Since the request can be across the board I need to use the right tool for the right situation. This involves sometimes
So as a data scientist using the right tool for the right job is so important not in just being efficient but also in solving the problem. Coding allows me to glue all these worlds together. Here are the advantages of learning how to code and applying that to your data analysis toolbox.
So when you are fighting with data have as many tools as you can to solve the multiple problems that you face. Programming is one tool that provides the glue that allows you to bring it all.
What are your thoughts on coding? Do you have any other advantages to learning to code?
Python is one of the programming languages data scientist use. Here are a few online courses that teach Python programming. If these don’t work there are much more. Just do a google search on “online Python classes.”
https://www.datacamp.com/courses/intro-to-python-for-data-science – Intro to Python for Data Science.
https://www.coursera.org/learn/learn-to-program/home/welcome – Learn to Program: The Fundamentals by University of Toronto
https://www.codecademy.com/en/tracks/python – Python by code academy
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