Data Science

What is Data Science?

"Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structural and nonstructural data."

Data Science is related to Data Mining, Machine Learning, and Big Data.

 Need for Data Science :

- Predictive Analysis (What will happen next ?)

- Pattern Discovery (Is there any hidden information in data)

- Better decision making (Whether A or B)  

Ex: 1) To predict the best routes for Aeroplanes by detecting Air traffic, weather conditions, etc.

2) To predict the best routes for ships to deliver the goods of companies.

Prerequisites for Data Science

- Curiosity 

- Common Sense 

- Communication Skills 

Key Components Of Data Science 

• Machine Learning 
• Mathematical Modelling
• Statistics 
• Computer Programming 
• Databases

Data Science Lifecycle with examples 

• Concept Study 
• Data Preparation 
• Model Planning 
• Communication
• Operationalize 

Demand for Data Scientist

• Technology 
• Marketing
• Finance
• Healthcare
• Gaming 

Role & Responsibilities of Data Scientists

• Design data modeling processes to create algorithms and predictive models and perform custom analysis.
• Manipulate large datasets and use them to identify trends and reach meaningful conclusions to inform strategic business decisions.
• Data scientists help companies to manage data and solve complex problems by using their skills.

Skills Required to learn Data Science 

1. Programming Knowledge (Python, R, SQL, Scala)
2. Mathematics & Statistics 
3. Machine Learning (Supervised, Unsupervised, Reinforcement)
4. Data manipulation and Analysis 
5. Data Visualisation