Welcome To The Course!
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Your Mentor
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Course Components
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Overview
The Tool
Basic
Stats
Getting Started with
simple models
Advanced Algorithms
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Best Practices For A Learner
• Programming : There is no better way to learn
coding than coding it yourself , experimenting ,
making mistakes , getting errors and resolving the
• Prepare for the class : Go through quick
understanding videos for the upcoming session
before hand
• Studying : Make your own notes , ask question
• During the week : Exercises
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m
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How to get help
Ask in
class
QA Forum
Drop me a
mail
lalit.sachan@edvancer.in
Text Group
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How to ask a question (QA forum, mails, groups)
• Don’t judge your question
• Be Specific , give more context
• Share code, details of your attempts at solving the problem
• Acknowledge the help given by your peers
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Introduction to Analytics
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Well, what is it?
?
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Well, what is it?
Solving business problems with data
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What enables it?
?
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What enables it?
• Surge in availability of data
• Affordable storage and processing
• Open Source Tools
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What drives it?
?
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What drives it?
• Complexity and scale of the interactions in today’s world
• Need for speed and efficiency
• Need for staying unbiased and staying current
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Components of Analytics
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Lets find some business problems first
Banks
IT
Education
Media
Human
Resources
Tourism
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FMCG
Credit Cards
Transport
Investment funds Defense
Sales &
Marketing
Social
Networking
Sites
Retail
Consumer
Research
Hospitals
Supply Chain &
logistics
Manufacturing
Ecommerce
Stock Markets
Sports
Hotels
Insurance
Health Care
NGOs
Airlines
Telecom
Investment Banking
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Categories of these problems and their solutions
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Hurdles
• Badly defined business problem
• Wrong , corrupt or insufficient data
• Poor understanding of business process
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Golden Rules
• There is no “One” Or “final” solution
• Its ok to trade off a little performance over simplicity
• Good data always beats a better algorithm
• It takes time
• Rules will have exceptions
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Standard Project Cycle
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Project Flow
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Building a data driven
solution strategy
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Case of a bank losing money
NuBank has been incurring a lot of losses due to
retail borrowers defaulting on their repayments
• Can you identify what information will be useful
in resolving this problem ? What data points
will we require ?
• Can you break down the problem in terms of
target and features
• Target : predicting an outcome which
directly helps us in solving the above listed
proble
• Features : Information which will be
available to us in form of data to predict
that outcom
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Analytics: Enables you Hear, See & Speak with Intelligence
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Thank you
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