logo
logo
Sign in

SQL For Data Science | Python, R, Hadoop, & Tableau | What Should You Learn?

avatar
Ben Cryer
SQL For Data Science | Python, R, Hadoop, & Tableau | What Should You Learn?

What is Data Science?

It is a well-known fact that without facts and figures, no entity is going to survive the digital era. Data is the oil and fuel of any organization, thanks to the unprecedented rate at which digital mediums are generating them. Companies nowadays have all kinds of information at their disposal leveraging which not only helps them uncover hidden trends and patterns, but also re-strategize and re-formulate the entire model as per the ongoing requirement.

This constant need for upgrading the existing models has given rise to a field that is a blend of analytics and computation. This domain is commonly called “Data Science”.

Data Science is a field that attempts to find the trends and patterns lying under the layers of raw data. After they are meticulously prepared and explored, these data throw up important details which the organization can use for its benefit.

Going by the above description, Data Science can be defined as, “Data Science is a multi-disciplinary domain which is made of three different fields of studies, i.e., Computer Science, Mathematics & Statistics, and Domain Expertise, that seeks to identify the trends and patterns from the bulk of raw data”.

Data Science is a multi-disciplinary domain which amalgamates three vast fields, i.e., Computer Science, Statistics & Mathematics, and their respective Domain expertise. So, anyone who wishes to get into Data Science should acquire these three skills:

1. Computer Science: 

    Computer Science deals with applying techniques, algorithms, and programming, etc., to perform a task. There are many fields in computer science, such as web development, programming, cyber security, analytics and much more.

 

Read more

collect
0
avatar
Ben Cryer
guide
Zupyak is the world’s largest content marketing community, with over 400 000 members and 3 million articles. Explore and get your content discovered.
Read more