• Ashutosh Saxena

Data science?

some of you may have listened to this while searching online or as career options but what it actually means, what kind of work it entertains? Well as the name suggests itself everything from tip to bottom relating to data comes under this.



what it actually means?

Suppose you got a bunch of data from a friend regarding something upon which you need to decide about your future course.

what you will do next?

Probably the answer is going to be the same from everyone for instance first you'll arrange it then you'll edit it following analysis and then at a point after deep consideration you'll be taking a call on it, isn't it the right way!

but what will you do when this is not just a mere bunch of data that a friend gave you but a whole lot of stack that your organization obtained from various sources and have stored it in the supercomputers at your workplace.




in very simple words to make anyone understand its meaning, you can refer it to as a process from the arrangement of data to deciding the future course of actions on it.


Pillars of data science

  • Business/Domain

  • Mathematics (includes statistics and probability)

  • Computer science (e.g., software/data architecture and engineering)

  • Communication

Based on these pillars, a data scientist leverage data sources, and create new ones as needed to extract meaningful information and actionable insights. These insights then are used to make business decisions and unable them in achieving business goals.

Business domain expertise, communication, interpretation, and utilization of relevant statistical techniques, programming languages, software packages and libraries, data infrastructure, and so on are the necessities for it.

people are often not that much strong in every field, mainly they are concerned with specializing in a particular field whether it be data mining, machine learning, analysis or business domain.

There are many other skills and expertise that are required, but in the broad sense, these are highly desirable.


Duties of a data scientist

A data scientist collects, analyzes, and interprets a large volume of data, to improve the company's operations. The development of statistical models that analyze data and detect patterns, trends, and relationships in data sets, is used to predict consumer behavior or to identify business and operational risks. The data scientist is responsible to present data insights to the decision-makers for better decision making.


Data Science Today

Data science is one the trending career of the century. In today’s high-tech world, From businesses to non-profit organizations to government institutions, there is an infinite amount of information that can be sorted, interpreted, and applied for a wide range of purposes. Companies are hiring more data scientists these days than before, To apply big data and data science in everyday activities so that they could bring value-added services or goods to consumers such as; institutions that are capitalizing on big data to enhance their success rate. management firms are using big data to predict the likelihood of a stock's price moving up or down at a stated time.


How to become a data scientist

How to become a data scientist can be explained in three general steps:

  1. A bachelor's degree in IT, computer science, math, physics, or another related field;

  2. A master's degree in data or related field;

  3. Gain experience in the field you dream to work in (ex: healthcare, physics, business).


However, many other institutions give

you the opportunity to take certified courses or diplomas to pursue a better career in the data science field.

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