Data Science

Why Data Science is becoming so popular nowadays?

The whole field of Data Science depends on data. Our mobile phones, our laptops, tablets and so on that connect us with the world around us generate a lot of data.

How much data do we create daily?

Over 2.5 quintillion bytes (100 Crore GB's) of data are created every single day, and it's only going to grow from there. By 2022, it's estimated that 3.7MB of knowledge is going to be created every second for each person on earth.

let's see some examples of how we are generating data every single minute.

1.  97,222 hours of video is streamed on Netflix.
2.  120 new professionals are added to Linkedin.
3.  4,333,560 videos are viewed on YouTube.
4.  176,220 calls are made using Skype.
5.  12,986,111 text messages are sent.
6.  3,877,140 searches are conducted on Google.
7.  1,111 packages are shipped from Amazon.

What is Data Science?

Data science is a field that refers to the collective processes, theories, concepts, tools, and technologies that enable the review, analysis, and extraction of valuable knowledge and information from raw data.

Application areas of Data Science:

1. Digital Advertisements
2. Internet Research
3. Recommender System
4. Image/Speech Recognition

Tools & Languages used in Data Science:

• Python
• SAS
• SQL

Annual Salary of a Data Scientist:

According to GlassDoor, it is ₹993K

What is Data Analytics?

Data Analytics is the process of examining data sets to conclude the information they contain, increasingly with the aid of specialized systems & software.

Application areas of Data Analytics:

1. Gaming
2. Travel
3. Energy Management 
4. Healthcare

Tools & Languages used in Data Analytics:

• R
• Tableau Public
• Apache Spark

Annual Salary of a Data Analyst:

According to GlassDoor, it is ₹500K

What is Big Data?

Big Data refers to voluminous amounts of structured or unstructured data that organizations can potentially mine & analyze for business gains.

Application areas of Big Data:

1. Communication 
2. Retail
3. Financial services 
4. Education

Tools & Languages used in Big Data:

• Hadoop 
• NoSQL
• Hive

Annual Salary of a Big Data Specialist:

According to GlassDoor, it is ₹764K

The world is generating data at a higher rate, and so they need for "Data Science" & "Data Analytics" tools increases to analyze and manage this "Big Data".

Hence, we can say that Data Science becoming more popular because of these reasons.