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Data Science Myths
You can call it FAQs as well…
Myth #1
Data Science is an all
powerful, cool new role
Reality #1
In 1962 John W.Tukey
wrote “The Future of
Data Analysis”
The concepts obviously
existed much before that
Myth #2
Data Scientist is a geek
with exceptional IQ
(250+) and talent.
Reality #2
Strong fundamentals,
hard work and lots of
patience would make a
data scientist.
“A data scientist is
someone who is better at
statistics than any software
engineer and better at
software engineering than
any statistician.”
Myth #3
Data Scientist needs to
be a coding ninja
Reality #3
Data Science is more art,
statistics, math, domain
and tiny bit of
programming
Myth #4
A Data Scientist needs to
master SAS, Excel,
Hadoop, WEKA and
whatever they keep
dumping
Reality #4
Tools are used to reduce
the effort of a Data
Scientist. Focus should
be on applying the
techniques and methods
properly.
We believe 5% tools &
95% data techniques
Myth #5
You need a specialist to
teach each part of Data
Science
Reality #5
A Data Scientist is a
person who understands
well enough to combine
and apply the various
aspects of data
techniques.
Myth #6
A Data Scientist keeps
giving mind blowing
insights
Reality #6
In real-world projects
there are a team of data
scientists building
several trial and error
models. Most of these
fail! You just get keep
getting better…
Myth #7
A Data Scientist only
needs to worry about the
numbers and need not
understand the business
domain
Reality #7
A Data Scientist answers
business questions.
Understanding business
is part of figuring out the
nature of data.
Myth #8
You can become a data
scientist by just joining a
“Training Institute” for 3
months!
Reality #8
According to our
experience, “Guided
Learning by Doing” is
the only way in which
you can be on the path of
a data scientist
hank You
Williams Tower
2800 Post Oak Boulevard
Suite 4100
Houston, TX 77056
+1 (832) 390 – 2263
info@technoidentity.com
www.technoidentity.com

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Bursting the myths of data science

  • 1. Data Science Myths You can call it FAQs as well…
  • 2. Myth #1 Data Science is an all powerful, cool new role
  • 3. Reality #1 In 1962 John W.Tukey wrote “The Future of Data Analysis” The concepts obviously existed much before that
  • 4. Myth #2 Data Scientist is a geek with exceptional IQ (250+) and talent.
  • 5. Reality #2 Strong fundamentals, hard work and lots of patience would make a data scientist. “A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician.”
  • 6. Myth #3 Data Scientist needs to be a coding ninja
  • 7. Reality #3 Data Science is more art, statistics, math, domain and tiny bit of programming
  • 8. Myth #4 A Data Scientist needs to master SAS, Excel, Hadoop, WEKA and whatever they keep dumping
  • 9. Reality #4 Tools are used to reduce the effort of a Data Scientist. Focus should be on applying the techniques and methods properly. We believe 5% tools & 95% data techniques
  • 10. Myth #5 You need a specialist to teach each part of Data Science
  • 11. Reality #5 A Data Scientist is a person who understands well enough to combine and apply the various aspects of data techniques.
  • 12. Myth #6 A Data Scientist keeps giving mind blowing insights
  • 13. Reality #6 In real-world projects there are a team of data scientists building several trial and error models. Most of these fail! You just get keep getting better…
  • 14. Myth #7 A Data Scientist only needs to worry about the numbers and need not understand the business domain
  • 15. Reality #7 A Data Scientist answers business questions. Understanding business is part of figuring out the nature of data.
  • 16. Myth #8 You can become a data scientist by just joining a “Training Institute” for 3 months!
  • 17. Reality #8 According to our experience, “Guided Learning by Doing” is the only way in which you can be on the path of a data scientist
  • 18. hank You Williams Tower 2800 Post Oak Boulevard Suite 4100 Houston, TX 77056 +1 (832) 390 – 2263 info@technoidentity.com www.technoidentity.com