PadhaiTime Logo
Padhai Time

Applications of Data Science

There is a need of Data Science in almost every field of study in the present world.

Let us look at few famous quotes:

  • “Marketing without data is like driving with your eyes closed” – Dan Zarrella
  • “Without data you're just another person with an opinion” – W. Edwards Deming
  • “Without Big Data Analytics, Companies are blind and deaf, wandering out onto the web like deer on a freeway” – Geoffrey Moore

With these quotes, it is clear that it is highly recommended to collect and analyze your organizational data. 

Fields where Data Science is being used:

  • Risk Reduction and Fraud Detection (for Banks and Financial Organizations)
  • HealthCare (by figuring out early stage symptoms of diseases)
  • Marketing (By targeting specific population type)
  • Augmented Reality
  • Speech to Text Conversion
  • Image and Voice Recognition
  • Advertisements (by analyzing your search history and showing specific ads)
  • Recommendations (through your watch history)

So, applications of Data Science are widely spread.

But, does it only take help from Statistics to draw conclusions?


Data Science is a set of multiple things, take a look at the picture below. All these techniques are being used in some or the other problem statements to arrive at the result.


Do not worry after looking at this list. A Data Scientist cannot master all of these fields all together.

Depending upon your domain and problem statement, some or the other field is required but not all. It is important for you to decide ahead about the domain you are interested in.

  • You can become a pure NLP expert where NLP and Machine learning are two required skills
  • For a Statistician, SQL and Statistics are must
  • For an AI Expert, Neural Networks, Artificial Intelligence, Machine Learning are required

So depending upon your domain, you can choose the skills.

Finally, try to understand the image below, this will give you a clear idea about the bigger picture.


Image credit goes to

Data science takes help from multiple fields to solve problems, but it is not the super set.

Bengaluru, India
  • We collect cookies and may share with 3rd party vendors for analytics, advertising and to enhance your experience. You can read more about our cookie policy by clicking on the 'Learn More' Button. By Clicking 'Accept', you agree to use our cookie technology.
    Our Privacy policy can be found by clicking here