Divyanshi Kulkarni

8 months ago · 1 min. reading time · ~10 ·

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DATA SCIENCE DECODED: FROM WHAT TO WHY (INFOGRAPHIC)

DATA SCIENCE DECODED: FROM WHAT TO WHY (INFOGRAPHIC)

It is that time of the year when students start wondering which career path to go for. And if you are in the technical line, artificial intelligence, cybersecurity, data science, and computer systems are some trending and trendy jobs. But if you are thinking about pursuing a career in the data science field, then in this infographic we have decoded everything about data science: from what to why? Whether you are a student looking to start your career or a young professional thinking of changing careers in the data science domain, have a look at this infographic to get an overview of the data science industry.

  • What is data science?
  • Where data to be used for data science processes does come from?
  • Who works on data and tools?
  • How do these data science professionals work on data?
  • And when do they need to work on data science projects?

We have answered everything in this infographic. We believe it will help you make a quick decision regarding your interest in this career path. And if you find it suitable, then we recommend gaining the required data science skills such as Linear regression, logistic regression, cluster analysis, factor analysis, etc. with the top USDSI® data science certification. Explore the ever-expanding data science career as this industry continues to predict the future of business.

ARUN DEES
TREY DATA SCIENCE

INSTITUTE
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FROM WHAT TO THE WHY

2030- The Year of Big Reveal with
Astounding Data Science Industry Opportunities

(Source-KnowledgeHut.com)

LE NE ERY RR ER EA SR PR RS

 

\
\ WHAT?
/ | Data Science is 0 multidisciplinary
/ approach to gaining insights from
ever-surging data.
Ou
WHERE? a

Traditional data comes from basic 02
customer records or historical stock
information. Big Data is however

[LRTI ATS

Data Science Specialists deal with
raw data and pre-processing; while
creating databases, and predicting
FOAL Tele

PH] WHO?

HOW?
Collect Raw Data > >Label the 04

Observations > >Data Cleansing/ ee
Scrubbing > > Data Balancing > >
Data Shuffling \. NN. = A _— WwW ¥ Y?
\ H

\ Data-driven decisions require veell-
| | informed, relevant, and organized
Je Re 2 RR Re Leh aes
/ It enables potential future scenario

 

= assessments by using advanced
statistical methods.

 

DATA SCIENCE PREDICTS THE FUTURE OF BUSINESS

Linear Regression > > Logistic Regression >>
Cluster Analysis>> Factor Analysis>>
Time Series Analysis>> Data Visualization Tools > >
Much More ...

Power up Your Data Science Portfolio
with the above-mentioned skills with the

Top Data Science Courses from USDSI®

[ER Re ER Se eR EL)
Education
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