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1
Intro
2
Data Science
3
Search Engines
4
Insurance Companies
5
Telcos
6
Orange
7
Its okay to be wrong
8
Why do telcos use data science
9
Predicting customer churn
10
Things that flag a telecom provider
11
Predictive model
12
Explicit feedback
13
Building a predictive model
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Drop calls
15
Online education
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Online retailers
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Social networks
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Healthcare
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Online Shopping
20
Predictive Models
21
Online Entertainment
22
Credit Fraud
23
Social Security Number
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Big Data Pipeline
25
Example Amazon
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Collecting Data
27
Automated Traffic
28
Tools for Logging
29
RealTime Analytics
30
Data Mining
31
Managing Traffic
32
Kayak
33
Descriptive Analytics
34
Classification
Description:
Dive into the expansive realm of Big Data, Data Science, and Predictive Analytics in this comprehensive 93-minute video. Uncover the diversity and pervasiveness of data science in today's world, gaining a high-level understanding of predictive analytics subfields and the components of a big data pipeline. Explore real-world applications across various industries, including search engines, insurance, telecommunications, online education, retail, social networks, healthcare, and entertainment. Learn about predictive models, customer churn prediction, explicit feedback, and the importance of data collection and management. Discover how companies like Amazon and Kayak utilize big data for traffic management, real-time analytics, and descriptive analytics. Gain insights into credit fraud detection, social security number analysis, and classification techniques in data mining.

Intro to Big Data, Data Science & Predictive Analytics

Data Science Dojo
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