Data Science

Data
Data is the raw facts or figure. Data is divided into the three categories.
1. Structured Data

• A well-organized data in the form of tables on which the work can be done easily.
• In this type of data, searching and accessing an information is very easy.
• Example: Data presented in spreadsheet.

2. Unstructured Data

• It requires advance tools and software’s to access an information.
• Example: Pdf files, word document, audio, video, emails.

3. Semi-Structured Data

• It is a structured data which is un-organised.
• Example: Web data such JSON (JavaScript Object Notation) files, BibTex files.

What is Data Science and Data Scientist?

• Data Science is a field which extract the knowledge and insights from the raw data; by using Maths,Statistics, Computer Science and Programming Language knowledge. And the person who has these skills are called as Data Scientist.
• Data scientist is about being curious, self-driven, and passionate about finding the answers.

What a Data Scientist do?

• Surfacing the hidden insight which can help companies to make smarter business decisions. 
• Data scientist works in various domain such as shipping, healthcare, e-commerce, aviation, finance, education.

How Data Scientist works?
Data Scientist start their work by understanding the business problem and then works with the collection of data, reading - transforming the data in the required format, then visualizing, modelling, evaluating the model and deployment.

Real world use cases of Data Science
Data Science is applied to many problems to predict and calculate the outcomes that would have taken several times more human hours to process.
Real-world examples where Data Scientists are playing a major key role:

• Google’s AI research arm to build the best performing algorithm to detect the object automatically.
• Amazon to personalize their product.
• You tube to automated video classification model.
• Netflix to understand the user’s interest and then produce Netflix original series to produce.

Why Python language is used for Data Science?

• Python is very beginner-friendly language.
• Its syntax is simple to read and follow.
• It supports object-oriented programming, structured programming, and functional programming patterns.
• It is free, open-source software, and consequently anyone can write a library package to extend its functionality.