How much programming is required in Data Science, particularly Statistical Analysis and Machine Learning? Should a Data Scientist care more about analysis, interpretation, Mathematics rather than programming? What’s wrong in using a GUI based tool?

Question

Are coding skills required in the Data Science domain particularly Statistical Analysis and Machine Learning? And what to focus on Analysis, interpretation, Math, or Programming to become a Data Scientist? Finally, what is wrong with using GUI based tool in this domain?

Answer 1

Programming is essential in the analysis because it’s endlessly customizable. When you can write a program, it is very easy to generalize your analysis. You can change the model, data set and assumption, while you maintain the ability to see what you did before and why you did it.

And another reason programming is important is that data scientists rarely get neat data. Retrieving and manipulating the data is part of analyzing it.

Programming should not take more time than using a GUI-based tool, and it should not be a separate skill set. It is just a part of statistical analysis.

Want to be a Data Scientist? Check out the Data Science courses from Intellipaat.