Data Science:
The Field of bring out insights from data using scientific techniques is called Data Science.
Spectrum of Business Analytics (Value Add to Organization wrt complexity)
MIS – Detective Analysis – Dashboarding – Predictive Modeling – Big Data
Forecasting: is a process of predicting or estimating the future based on the past and present data.
Eg: How many passengers can we expect in a given flight?
Eg: How many Customer calls can we expect in next hour?
Predictive Modeling: used to prediction more granular like “Who are the customers likely to buy the product in next month? & then act accordingly
Machine Learning: is a method of teaching machines to learn things and improve predictions/behavior based on data on their own.
Eg: Amazon/Netflix Recommendation Systems, Algorithm to power google search
Application of Data Science:
- Social Media:
- Recommendation Engine
- Ad placement
- Sentiment Analytics
Banking
- Credit Scoring
- Fraud Detection
- Price Optimization
- Anti-money laundering
e-Commerce
- Discount Price Optimization
- Cross-sell and Up-Sell
- Business Forecasting
Search Engine
- Search Algorithm
- Fraud Detection
- Ad Placement
- Personalized Search Results
Application of Data Science in Various Domains:

