A talk that was given in 2015. A must watch for beginners who are wanting to pursue the role of a data scientist!

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
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