Is it possible for non-technical candidates into the field of data science?

It is not difficult for non-technical folks to be part of the data science industry, as they have domain knowledge of their current area of work as an added advantage, one working in Finance can learn analytical skills and be an Expert Financial Analyst!

What background do you need to be a data scientist?

You will need at least a bachelor’s degree in data science or computer-related field to get your foot in the door as an entry level data scientist, although most data science careers will require a master’s degree.

Is a PhD useful for data science?

A PhD is a great way to get deep exposure to a number of core data science domains.

Can you become a data scientist without a computer science degree?

It is possible to learn data science without a computer science or mathematics background, or a postgraduate degree, and get a data science job. Lack of a highly quantitative degree shouldn’t bar high-functioning individuals with knowledge, expertise, and skills in other fields from learning data science.

Why data science is the best career path?

Since data science is such a wide field, streamlining your ideal job role and working towards it, will allow you to set goals and eliminate skills you may not need at this point in your journey. This is because of the role data scientists and analysts play, in explaining insights to stakeholders and experts from other fields.

What skills do you need to become a data scientist?

They should also be willing to learn the required skills, such as statistical analysis, programming, and machine learning. Anyone adept at logical thinking and armed with a structural thought process, a willingness to learn new tools, and a spot-on business acumen can get into data science.

Is data science difficult to learn?

If you want to dive deeper into data science tools and languages, this is where it gets more complicated. You could learn data tools like advanced Excel, Tableau, or sci-sense or learn code like JavaScript with data libraries like D3.js or R. These tools and code syntaxes are much harder to learn.