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Ankit Rathi
Data Science
(Introductory Session)
2
Your motivation?
Expectations?
3
Let me start with a story…
2.4 3 5.5 1.5 0.5
Perot Mastek RBS Genpact SITA
SQL, PL/SQL ETL, DWH, BI R/Python, Hadoop/Spark, Azure/AWS
My Journey
5
Building the context
6
2012: The turning point…
7
3
4
3.5
3 3
0
3
4
3.5
3
0 0
3
3.5
4
0 0
3
4
3.5
0 0
2
2.5
3
PEROT(2005-07) MASTEK(2007-10) RBS1(2010-13) RBS2(2013-16) GENPACT/SITA(2016-TILL NOW)
SQL/PLSQL ETL/DWH/BI R/Python Hadoop/Spark AWS/Azure
Skill-set Evolution
8
70%
30%
Data Architecture
Data Science
Current Role
9
Setting the expectations
•Expertise Vs Data Science
•Breadth & depth of the field
•Requires knowledge & skills (practice, practice,
practice)
•Scope: Overview & approach only
10
Data Science
11
Why Data Science?
12
Why Data Science?
13
What is Data Science?
14
Data science is an interdisciplinary field of
scientific methods, processes, algorithms and
systems to extract knowledge or insights from data
in various forms, either structured or unstructured,
similar to data mining.
~ Wikipedia
What is Data Science?
15
What is Data Science?
16
How to do Data Science?
17
Skill-set of a Data Scientist
• Data Literacy
• Linear Algebra, Statistics & Probability
• Algorithms
• Programming (SQL/R/Python, KNIME/SPSS)
• Domain Knowledge
• Story-telling
1818
Challenges
•Stakeholders Buy-in
•Data Issues (Access, Quality)
•Problem Statement
•Maturity (Process, Analytics)
•Wrong Expectations
19
Learning Approach
•Kaggle (learn, apply, compete)
•Analytics Vidhya (learn, stay updated, compete)
•KDNuggets (learn, stay updated)
•Machine Learning Mastery (learn, apply)
•Data Science Central (learn, stay updated)
•Quora, Medium & StackOverflow (ask, learn,
stay updated)
20
“If you want to learn to swim, jump into
the water.”
~ Bruce Lee
“The secret of getting ahead is getting
started.”
~ Mark Twain
21
Demo
22
Connect with me
https://ankitrathi.wixsite.com/home/links
23
Questions?

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