what are the roles and responsibilities of a data Science - PowerPoint PPT Presentation

About This Presentation
Title:

what are the roles and responsibilities of a data Science

Description:

What are the Roles and Responsibilities of Data Scientist, like Introduction, management, and Knowledge, Analytics? For more information, visit the 1stepgrow. – PowerPoint PPT presentation

Number of Views:2
Slides: 10
Provided by: stepgrow
Tags:

less

Transcript and Presenter's Notes

Title: what are the roles and responsibilities of a data Science


1
What Are The Roles And Responsibilities of A
Data Science?
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
2
Table Of Content
  1. Introduction
  2. Management
  3. Knowledge
  1. Analytics
  2. Strategy
  3. Collaboration

https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
3
Introduction
  • But in reality, multiple queries appear. Some
    important questions are
  • what is the role of Data Science?
  • What is the duty of Data Science?
  • How is data Science further from data analysts
    and data creators?
  • So let's discuss these classifications of
    questions to understand who data Science is in
    detail.
  • https//1stepgrow.com/course/advance-data-science-
    and-artificial-intelligence-course/

4
Management
Data Science recreates an unimportant
organisational position where he helps build the
bottom of futuristic and specialised
capabilities within the Analytics and Data area
to help with different designing and restarting
data analytics tasks.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
5
Knowledge
Data Science takes the administration to analyze
various technologies and tools to make creative
data-driven insights for the industry at
multiple agile paces attainable. In this
condition, the Data Science even operates an
initiative to assess and use new and improved
data science plans for the industry, which he
provides to senior leadership for
acceptance. https//1stepgrow.com/course/advance-
data-science-and-artificial-intelligence-course/
6
Analytics
Data Science describes a scientific position
where he designs, tools, and evaluates Very
high-level statistical samples and procedures
for application in the industrys multiple
difficult problems. Data Science creates
statistical and econometric prototypes for
different issues, including projections,
categories, design analysis, samples, etc.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
7
Strategy
Data Science is important in raising creative
methods to understand the industrys customer
leadership and trends and routes to solve
complex industry issues, for example,
optimising by-product completion and total gain.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
8
Collaboration
Part of Data Science is not solitary. In this
role, he collaborates with the best data
science to intercommunicate blocks and results
to suitable stakeholders to operate industry
decision-making and performance.
https//1stepgrow.com/course/advance-data-science-
and-artificial-intelligence-course/
9
Thank You
For More Information,Please visit https//1stepgr
ow.com/
Write a Comment
User Comments (0)
About PowerShow.com