Data Science vs Computer Science

Terms of use

Terms of Use

The use of this site and the content contained therein is governed by the Terms of Use. When you use this site you acknowledge that you have read the Terms of Use and that you accept and will be bound by the terms hereof and such terms as may be modified from time to time.

All text, graphics, audio, design and other works on the site are the copyrighted works of nasscom unless otherwise indicated. All rights reserved.
Content on the site is for personal use only and may be downloaded provided the material is kept intact and there is no violation of the copyrights, trademarks, and other proprietary rights. Any alteration of the material or use of the material contained in the site for any other purpose is a violation of the copyright of nasscom and / or its affiliates or associates or of its third-party information providers. This material cannot be copied, reproduced, republished, uploaded, posted, transmitted or distributed in any way for non-personal use without obtaining the prior permission from nasscom.
The nasscom Members login is for the reference of only registered nasscom Member Companies.
nasscom reserves the right to modify the terms of use of any service without any liability. nasscom reserves the right to take all measures necessary to prevent access to any service or termination of service if the terms of use are not complied with or are contravened or there is any violation of copyright, trademark or other proprietary right.
From time to time nasscom may supplement these terms of use with additional terms pertaining to specific content (additional terms). Such additional terms are hereby incorporated by reference into these Terms of Use.

Disclaimer

The Company information provided on the nasscom web site is as per data collected by companies. nasscom is not liable on the authenticity of such data.
nasscom has exercised due diligence in checking the correctness and authenticity of the information contained in the site, but nasscom or any of its affiliates or associates or employees shall not be in any way responsible for any loss or damage that may arise to any person from any inadvertent error in the information contained in this site. The information from or through this site is provided "as is" and all warranties express or implied of any kind, regarding any matter pertaining to any service or channel, including without limitation the implied warranties of merchantability, fitness for a particular purpose, and non-infringement are disclaimed. nasscom and its affiliates and associates shall not be liable, at any time, for any failure of performance, error, omission, interruption, deletion, defect, delay in operation or transmission, computer virus, communications line failure, theft or destruction or unauthorised access to, alteration of, or use of information contained on the site. No representations, warranties or guarantees whatsoever are made as to the accuracy, adequacy, reliability, completeness, suitability or applicability of the information to a particular situation.
nasscom or its affiliates or associates or its employees do not provide any judgments or warranty in respect of the authenticity or correctness of the content of other services or sites to which links are provided. A link to another service or site is not an endorsement of any products or services on such site or the site.
The content provided is for information purposes alone and does not substitute for specific advice whether investment, legal, taxation or otherwise. nasscom disclaims all liability for damages caused by use of content on the site.
All responsibility and liability for any damages caused by downloading of any data is disclaimed.
nasscom reserves the right to modify, suspend / cancel, or discontinue any or all sections, or service at any time without notice.

For any grievances under the Information Technology Act 2000, please get in touch with Grievance Officer, Mr. Anirban Mandal at data-query@nasscom.in.

New

See all

No notification found.

Data Science vs Computer Science

Learnbay

@Learnbay

December 16, 2021

AI Inside

199

In the discipline of science and technology, computer science is the study of computer design, architecture, and applications, and it involves a variety of technical concepts. While you may be captivated by the endless possibilities that the rapidly developing IT business offers, keeping up with the profession and its various specialities might be challenging. It includes hardware, technology, infrastructure, and the internet, as well as a variety of subject fields. Data science is one speciality field that has been generating a lot of excitement in the community.

Data science is the study of many forms of data in any form or format to extract information, including structured, semi-structured, and unstructured data. For a Data Scientist, learning Computer Science initially and then focusing on Machine Learning methodologies is usually useful. Data Science encompasses a variety of technologies that are used to analyse data, such as data mining, data archiving, data purging, data transformation, and so on, in order to make it more efficient and orderly. In this post, we'll distinguish between data science and computer science to help you make sense of it all.

Data Scientist

Computer science is more difficult to summarise than data science. In the tech business, we hear buzzwords all the time, but are those the keywords we use in our daily work? I certainly utilise a number of major tools and languages on a regular basis.

Although many people identify data science with corporate intelligence, it has applications in a wide range of sectors, including healthcare, economics, operations research, and athletics.
As a Data Scientist, You will be responsible for investigating the company's data a well as relating how data affects a product.
Computer scientists can also tackle some of the same difficulties. Data science deals with both structured as well as unstructured data.

However, it is necessary to have someone who is entirely focused on Machine Learning algorithms as a technique of making an otherwise manual process not only more efficient but also more accurate for the sake of job title. Data science is researching historical trends and then applying the findings to reshape current trends and forecast future trends.

Computer science engineer

Computer science is a large, multidisciplinary field that is difficult to summarise in a few words. Despite the fact that the field of computer science is more well-known than the title of a computer scientist, there are still occupations dedicated solely to this position. The study of computers and computing concepts is referred to as computer science. However, in the workplace, Computer Science tends to focus on Software Engineering in particular. It basically entails the study of processes that interact with data in the form of programmes. Database Administrator, Hardware Engineer, Systems Analyst, Network Architect, Web Developer, and a multitude of IT professions are just a few of the roles that could follow Computer Scientist.

It is concerned with the modification of data through the application of various algorithms.
This diversity makes defining a Computer Scientist more challenging, similar to how Data Science encompasses Machine Learning operations, Data Engineering, Data Analytics, and so on.
The hardware branch of computer science is concerned with the study of computer architecture and operation.

In the end, your function in Computer Science will be defined by you and the company for which you work. Operating systems and compilers are also part of computer science. A job description, of course, is a simple method to learn more about a specific sub-function.

Which is better for you: data science or computer science?

Computer science and data science are both interesting, in-demand professional areas that necessitate a basic understanding of technology, mathematics, and programming. So, how can you know which one is best for you? As you can see, these jobs require a variety of talents, tools, and languages; but, they all share some of the same characteristics.

Even if the application pool for available positions is rising, data science is still trendy, and opportunities for data scientists are still empty.
Due to the strong demand for specialists who can handle the enormous amounts of data generated by businesses, data scientists now earn on average more than computer scientists.
With fewer skilled professionals than employment, computer science is also a seller's market.
Computer scientists are in high demand throughout national and international markets as new technologies emerge.

Data science may suit you best if you enjoy solving riddles with data, but computer science may suit you better if you prefer to create new things.

online course on data science best data science course data science certification course in bangalore best data science institute in bangalore data science course with placement in bangalore.

Disclaimer

That the contents of third-party articles/blogs published here on the website, and the interpretation of all information in the article/blogs such as data, maps, numbers, opinions etc. displayed in the article/blogs and views or the opinions expressed within the content are solely of the author's; and do not reflect the opinions and beliefs of NASSCOM or its affiliates in any manner. NASSCOM does not take any liability w.r.t. content in any manner and will not be liable in any manner whatsoever for any kind of liability arising out of any act, error or omission. The contents of third-party article/blogs published, are provided solely as convenience; and the presence of these articles/blogs should not, under any circumstances, be considered as an endorsement of the contents by NASSCOM in any manner; and if you chose to access these articles/blogs , you do so at your own risk.

Learnbay

Key Trends in Gen AI Startups: Pivo...

Madhumay

Digital Transfo..

15 Nov 2024

Power of Machine Learning via Data ...

Snowflake

Machine Learnin..

15 Nov 2024