What skills does a typical data scientist have?

What skills does a typical data scientist have?

Data science has emerged as the most sought-after career post-2017. However, a data scientist has a plethora of roles to play in the data science field. Apart from data analysis, he needs to have a good understanding of business data. Data science is a vast domain and as a data scientist a professional needs to be flexible from data sourcing to data execution.

Different industries or companies may ask for different skills for the post of a data scientist. However, in this blog, we will discuss on the skills which are broadly categorized based on technical and non-technical skills.

Necessary technical skills that a data scientist must acquire

The two most required technical skills in data science are:

  • Analytics
  • Computer science

Skills as an analyst

A data scientist can play either as an analyst or as a programmer.

To play as an analyst: Most of the analysts have a strong educational background like Master degree or Ph.D. in statistics, Mathematics, Economics or Computer science. They need to work on complex algorithms for data analysis.

The role of a programmer: Python or R is the two most used languages for data science-related programming. Hence, mastering any of the two languages are must as a data scientist.


Skills in computer science

Coding: A data scientist must possess good programming skills. Apart from R and Python, he must be comfortable with languages like Java and C++.

Knowledge of Hadoop: Data science activity most of the cases extend to big data related activities. Hence, although not must knowledge of Hadoop is an added advantage for a data scientist.

Familiarity and flexibility with different data forms: Data scientists need to handle unstructured data in most of the cases. He must have the love for numbers.

SQL coding: A concept and coding capability on SQL are necessary to work with data.

Necessary non-technical skills that a data scientist must acquire

Like every profession, data science also demands some soft skills and business skills.

Curiosity: Data science is a field where as a data scientist a professional needs to handle a large set of data which are indeed nothing interesting. But a data scientist must have that intellectual capability to grab the detail out of those numbers.

Business knowledge: The first step to solve any problem is to understand the problem properly. Hence, a data scientist must have proper business knowledge he is dealing with to understand the goal of solving the problem or the purpose of the analysis.

Communication skill: A data scientist may have to communicate with other business teams or sales teams for clarifications. Hence, he must have good communication skills to articulate the problem statements appropriately.

Conclusion: Do you want to develop the skills mentioned above to become a data scientist? Join Learnbay today and acquire necessary skills for  Data Science with hands-on exposure.

Learnbay is providing Data Science training in Bangalore for individual and corporate levels and a premium online platform for Big data Analytics training in Bangalore. Each of our courses is meticulously designed to match the industry requirement and will definitely help you to become an industry ready data scientist for tomorrow.

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