What is the difference between Data Science and Data Analytics?

Multisoft Virtual Academy offers a plethora of training programs, along with Data Scientist Training Certification Course. This course is ideal for those, who wish to learn all the aspects of data science and become a data scientist. Many people often get confused between the terms, data science and data analytics and assume them to be the same; but they are not. So, how data science is different from data analytics, let’s understand this, in this blog.

Data science vs. Data Analytics - The Difference

The terms data science and data analytics training are often used interchangeably, however data analytics is actually a part of data science. Under the umbrella of data science falls all the aspects of data processing, including collection of data, modelling data and insights. While data analytics mainly focuses on the mathematics, statistics, and statistical analysis; data science is related to the whole data environment of an organization.

At times, data analysts and data scientists have to work together to fulfil a common business goal, where a data analyst has to put more effort, as he/she has to perform routine analysis and provide regular reports. On the other hand, a data scientist designs the mode of storing, manipulating and analyzing data. In simple words, data scientists are responsible for creating new tools and methods to process data that is then used by data analysts to analyze and utilize data.

How do businesses benefit from data science? 

Data science has helped companies in revolutionizing the ways of operating their business, regardless of size while maintaining a competitive edge. The key benefits offered by data science are:

• Data science helps businesses to discover new relationships and patterns that can transform the organization. It also helps resource management by revealing low-cost changes for optimum impact on profit margins.
• With the help of data science, businesses can innovate new solutions and products for every business need. It also reveals problems and gaps that goes unnoticed, when dealing with massive quantity of data.
• Helps to perform real-time optimization especially for large-scale business operations, where implementing change in data can be challenging. It also helps in predicting change and accordingly reacting to different situations, thus reducing downtime and intervention of resources.

If you want to gain in-depth understanding of data science and the roles and responsibilities of a data scientist, consider enrolling for Data Scientist Training Certification Course from Multisoft Virtual Academy. All the courses offered by Multisoft come with perks like lifetime access to e-learning material, recorded training session videos and after training support. This course is delivered by Multisoft’s global subject matter experts in live instructor led, one-on-one and corporate training sessions. Moreover, after successful completion of the Data Scientist Training Certification Course, you will be awarded with a globally recognized training certificate.

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About the Author

Shivali Sharma

Shivali is a Senior Content Creator at Multisoft Virtual Academy, where she writes about various technologies, such as ERP, Cyber Security, Splunk, Tensorflow, Selenium, and CEH. With her extensive knowledge and experience in different fields, she is able to provide valuable insights and information to her readers. Shivali is passionate about researching technology and startups, and she is always eager to learn and share her findings with others. You can connect with Shivali through LinkedIn and Twitter to stay updated with her latest articles and to engage in professional discussions.