SKILLS

Here’s what it takes to be there where you dream to be soon.

Technical Skills

1. Programming Languages

Along with other technical skills, you have to include programming too in your to-do list. Programming languages form a base into the Data Science world. Python and R are two of the most widely used programming languages among top Data Scientists.

Python → Python is the most popular language on the planet at present. It is the topnotch choice for Data Science. This is because of the cool features of Python. Moreover, Python comes with an ample amount of libraries which are vital in Data Science.

R → R also is widely used in Data Science. It is majorly used for visualization purposes. R provides a comprehensive environment for programming, discovering, modeling, transforming and communicating the results.

2. BI Tools

One of the most important steps after harnessing data is that of how well you represent it. The more interactive your representation of data is, the better are the outcomes. Through visualization, you portray the results that you have gained through the analyses of the data. Tools like Tableau, PowerBI, QlikView, etc. are used for the same. Having a thorough knowledge of one of these tools is vital for your Data Science career.

3. SQL

Acronym for Structured Query Language, SQL is a database language that helps you to govern your relational databases. This language is specially designed for querying database models. Top companies are always in hunt of professionals who is proficient in the same. And for your Data Science career, it is a huge added advantage.

Non-Technical Skills