Data Science and analytics introduction for newbies and learners

1. Introduction
to Analytics &
It’s
Application
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2. 41% of Data Scientists work in technology
Future Of Data Science
13% in Marketing
11% work in a corporate setting
9% work in consulting
7% work in health care / pharmaceuticals
6% work in financial services
12% work in government, academia and retail and consumer packaged goods
2% work in gaming
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4. Analytics ?
Analysis of DATA for finding deeper insights about
details of events (variables), association and
relationship among phenomenon, hidden patterns etc
for meaningful Managerial Decision Making.
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5. In short, it is the use of
• Data,
• Information Technology,
• Statistical Analysis,
• Quantitative Methods, And
• Mathematical Or Computer-based Models
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6. If a consumer has purchased bread, butter, jam, cheese
and eggs, what more can be suggested him to buy?
Market
Basket
Analysis
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7. In Pune, college girls do more shopping on
weekends or boys do?
Exploratory
Data
Analysis
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8. Can we profile the customers at Beauty Products shop on
the basis of
• Gender
• Age
• Profession
• Weight
• Height
• Color
• Education Level?
Cluster Analysis
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9. What are the chances that the loan aspirant (customer) will be a
defaulter (Happy or Sad)?
Logistic Regression, Decision Trees, Support Vector
Machines, Neural Networks
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10. Can we predict earthquake in a geographically
sensitive area?
Linear Regression,
Decision Trees, Support
Vector Machines, Neural
Networks
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11. By Katrina 0n Katrina
Can we draw meaningful insights through tweeter analysis?
Text Analytics, Social Media Analytics dataspae.com

12. Which Machine Learning technique decide about spam?
Naïve Bayes Classifiers and more!
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13. Can we identify meaningful pattern?
Artificial Neural Networks, Support Vector Machine, Deep Learning
Application of Pattern Recognition:
• Medical diagnosis
• Life form analysis
• Sonar detection
• Radar detection
• Image processing
• Process control
• Information management
systems
• Aerial photo interpretation
• Weather prediction
• Sensing of life on remote planet
• Behavior analysis
• Character recognition
• Speech and speaker recognition
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