Do it for meDo it for me

  • Home
  • Business Services
    • Finance
    • Legal
  • IT Services
    • Artificial Intelligence
    • Graphic Design
    • Marketing
    • Mobile Apps
    • Stories
    • Web Design
  • Trainings
    • Business Training
    • IT Training
  • Contact
  • No products in cart.
SHOPNOW

Data Science VS Data Analytics

Do It For Me
Friday, 12 March 2021 / Published in Do IT For Me

Data Science VS Data Analytics

Data science and data analytics are emerging technologies. There is a fine line between data science and data analytics. They both are almost similar with a slighter difference. Data science builds questions and answers them for the future whereas data analytics involves checking hypotheses. In today’s world, everything is done by either data scientists or data analysts. Let us know about these more in-depth.

Data Science

Data science is a multidisciplinary field that uses specific methods and systems to extract information from structured and unstructured data. It uses various algorithms, statistics, mathematics, and data analysis to find out the hidden patterns from the raw data. Data science brings insights that can be helpful for a business to understand the trend and make better decisions. Data science is related to computer science and it is a subset of AI.

Data Analytics

Data analytics is the process of examining data sets in order to retrieve information from the data. Data analytics is helpful in making scientific decisions. It includes numerical analysis of numerical data that can be measured statistically. There are different types of data analytics, they are descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics.

Data Science VS Data Analytics – Difference  

Data science arises the question which may not concern others but is necessary from the future aspect. Data science tries to build connections to extract information from the data. Whereas data analytics is a branch of data science that focuses on specific areas and questions that are brought by the data science and answer them. Data science focuses more on machine learning while data analytics focuses on viewing historical data. Data science finds meaningful relations between data sets and data analytics is designed to uncover the hidden insights of data. The scope of data science is macro and data analytics is micro. Data science involves the development of algorithms, data interfaces to solve analytically complex business problems and on other hand, data analytics involves various branches of analysis and statistics. Data science is used for image recognition, internet research, speech recognition, and digital marketing whereas data analytics is used in travel, healthcare, gaming, finances, etc.

Skills Required

Data science: 

  • Highly experienced in mathematics, machine learning, programming, and advanced statistics.
  • Expert in Python, MATLAB, programming in R, Java, and SQL.
  • Ability to write, collect, and prepare maintainable code.
  • Great understanding of how and when to use AI and machine learning appropriately for the business.

Data Analytics:

  • Skilled in Excel and SQL database.
  • Good computer and technical skills with analytical and numerical skills.
  • Experienced in Python Or R programming language.
  • Data visualization and presentation skills.

Job Role and Responsibility

Data scientist:

  • To process, clean, and verify the integrity of the data.
  • Fact-finding data analysis.
  • Identifying new trends in data to make future predictions.

Data Analyst:

  • Extracting data and analyzing it.
  • Using statistical tools discovering new patterns.
  • Data cleansing.

Career Perspective 

Career perspective is similar for both data science and data analytics. Data science aspirants must have strong knowledge of software engineering, computer engineering, and data science. Data analysts should have a good knowledge of statistics, mathematics, information technology, and computer science. Data scientists require more technical skills and a mathematical mindset whereas data analysts take an analytical and statistical approach.

Conclusion 

 Data analytics and data science are the buzzwords and are trending today. Many people get confused between data science and data analytics. However, they both work with big data but there is a slighter difference between them. Hope this blog helped in clearing the concept.  There are great career opportunities in both the field. Future belongs to these fields.

Related

  • Tweet
Tagged under: Data Analytics, data science

What you can read next

Hadoop 3.0 – Pros and Cons
Pros and Cons of Online Educational Process
Google Cloud Networking

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recent Posts

  • Quantity vs quality in blogging
  • Biggest AI trends for 2022 and the years Ahead
  • Paid marketing vs organic marketing. What’s best for you?
  • Should You Be Spending More Time And Money On Your Website?
  • Top 10 things your business marketing needs in 2022

Recent Comments

  1. Evolution of E-Commerce in the Last Decade - Do it for me on Digital Marketing – Oxygen for Online Business
  2. Purpose and Types of Genetic Engineering - Do it for me on How AI Is Changing The World?
  3. Use of Technology in Military  - Do it for me on Impact of Technology on Human Creativity
  4. You, use them, love them, but Do You know them? - Emojis - Do it for me on How To Combat The Emerging Problem Of Social Media Addiction?
  5. Everything You Need to Know About YouTube Marketing - Do it for me on SEO Guide For Beginners

Recent Posts

  • Quantity vs quality in blogging

    There has long been controversy regarding the a...
  • Biggest AI trends for 2022 and the years Ahead

    In 2022 we will see artificial intelligence tak...
  • Paid marketing vs organic marketing. What’s best for you?

    If you don’t understand this one simple thing a...
  • Spending-time-and-money-on-website

    Should You Be Spending More Time And Money On Your Website?

    Why do you need a website? What is the need for...
  • Top 10 things your business marketing needs in 2022

    The year’s end is an extraordinary opport...

Recent Comments

  • Evolution of E-Commerce in the Last Decade - Do it for me on Digital Marketing – Oxygen for Online Business
  • Purpose and Types of Genetic Engineering - Do it for me on How AI Is Changing The World?
  • Use of Technology in Military  - Do it for me on Impact of Technology on Human Creativity
  • You, use them, love them, but Do You know them? - Emojis - Do it for me on How To Combat The Emerging Problem Of Social Media Addiction?
  • Everything You Need to Know About YouTube Marketing - Do it for me on SEO Guide For Beginners

Archives

  • November 2022
  • September 2022
  • August 2022
  • March 2022
  • December 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021
  • June 2021
  • May 2021
  • April 2021
  • March 2021
  • January 2021
  • December 2020
  • November 2020
  • October 2020
  • September 2020

Categories

  • Artificial Intelligence
  • Do IT For Me
  • Mobile apps
  • Online Marketing
  • Social Media
  • Web Development

Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org

Latest news straight to your inbox.

IT SERVICES

  • Artificial Intelligence
  • Marketing
  • Mobile Apps
  • Web Design

BUSINESS SERVICES

  • Business Growth Plan
  • Finance
  • Legal
  • Pro bono

QUICK LINKS

  • About
  • Careers
  • Blog
  • Contact

CONTACT US

Email

info@difm.tech 

Phone

678-888-TECH 

©2017-2022. Do It For Me DIFM.Tech. All rights reserved.

TOP