Does data science involve in programming?
The main goal of a data science role is to understand the syntax of the relevant programming language (Python) and try to implement the mathematical concepts using the predefined functions available in the language.
Data scientists use artificial intelligence, or machine learning, algorithms to detect patterns in large sets of data. Without these machine learning programs, the useful information contained in the data would be imperceptible to the human eye.
A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician.
The role of the Data Scientist includes find features or correlations in data that might predict outcomes. Those prediction then become data models that are tested multiple times. After those data models reach a high confidence level they are then automated in applications.
Programming is an essential skill for a data scientist job but that does not mean that you have to be a die-hard programmer to pursue a career in data science. It is acknowledged by industry experts that anybody who is comfortable and understands the basics of programming such as loops, functions, if-else, and programming logic can become a successful data scientist.
My simple suggestion to you as a learner is to ensure you keep it all structured and take it very slowly. Getting your head around syntax, conventions, and the general way things work is important. However, figuring out how to master Data Science basics is a great place to start your journey. Even if you’ve never written a line of code in your life!
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