How to Become a Big Data Scientist in Easy Steps

How to Become a Big Data Scientist in Easy Steps

The demand for skilled big data scientists is rising these days with the business shifting their attention towards extracting useful data that would help in the growth. If you too are aspiring to become one, then it is necessary that you have the required skills that would help you climb the career ladder. In this write-up, you would find the essential tips for becoming a big data scientist and how to go about them.

Listed below are the skills that are crucial to becoming a big data scientist. Click here to know more.

  1. Acquire mathematical and statistical knowledge

Probability, statistics, and linear algebra form the base of data science and you need to have the knowledge of the concepts related to all of them.  Each of these mathematical concepts has a different role to play which are as follows:

Probability covers the likelihood of events right from the failure of a part on an assembly line to odds of an advertisement getting clicked which are a crucial part of data analysis.

The next concept that succeeds probability is statistics which is useful when you are dealing with data analysis and interpretation.

At last linear algebra deals with the understanding of line mapping and vector spacing between these spaces. Linear algebra is the foundation of learning the working of algorithms and moreover it is also used in machine learning.

  1. Programming Languages

Before stepping up as a data scientist, you would need to acquire the basic programming skills which include R and Python. Moreover, you will have to acquire the knowledge of the data science development environments which are crucial in starting the projects. Python is much easier to learn and if you are new to the field of data science, then it is highly recommended that you start your learning process with it. R is more inclined toward statistical interpretation and requires sharp data analysis skill sets.

  1. Knowledge of analytical tools

In order to extract useful data, it is essential to have the knowledge of tools that would help in doing so. Analytical tools such as SAS, Hadoop, Pig, and Hive, etc., need to be mastered by a data science enthusiast.

  1. Strong business acumen

In order to channelize the technical skills productively, a data scientist is required to have a strong sense of the business model and how to make it a successful one. Without this skill, you won’t be able to solve the challenging problems that arise in business.

  1. Excellent communication skills

This is one of the soft skills which play a major role in the data science career. As a data scientist, you are required to interpret the raw data in a succinct and crisp manner to your peers who might not be involved in data science, which means that you need to be clear in your communication.

  1. Thorough knowledge of machine learning

Machine learning is the core of data science and an individual who wants to start a career in the same should be well-versed in its concepts. With the help of machine learning, comprehensive datasets can be interpreted in a manner that would enhance the marketing strategies and would contribute to the growth of the company. Moreover, help in predicting and processing the useful data crucial to a particular business project.

Experts in the technical industry consider data scientists to be a rare breed of individuals who possess a wide skill set that would benefit the business. Although the big data career might sound a challenging one, it is not impossible to take it over.

Back to top