Intro to Big Data, Data Science & Predictive Analytics

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
Data Science
Search Engines
Insurance Companies
Telcos
Orange
Its okay to be wrong
Why do telcos use data science
Predicting customer churn
Things that flag a telecom provider
Predictive model
Explicit feedback
Building a predictive model
Drop calls
Online education
Online retailers
Social networks
Healthcare
Online Shopping
Predictive Models
Online Entertainment
Credit Fraud
Social Security Number
Big Data Pipeline
Example Amazon
Collecting Data
Automated Traffic
Tools for Logging
RealTime Analytics
Data Mining
Managing Traffic
Kayak
Descriptive Analytics
Classification