Popular Applications of Data Science

This section gives you various examples to help you understand Data Science. It explains how you decide on a place for the vacation, how the weather is predicted, and sales during a particular time in a year using data science. 

 This section explains the need for data science to work with exponentially growing data every second. It points out how humans landed on the moon with understanding data and how a system can send millions of emails every day based on previous customer records. 

To understand the process of Data Science, you must first understand its backend. Thus, this module focuses on its architecture. You will go through the five significant steps in the Data Science lifecycle.

For architecture to work, specific components play a significant role. This module will go through four essential components of Data Science in detail.

This section comprehends your knowledge of various data science applications such as game logic, product logistics, google duplex, visual search, personalized advertisements, augmented reality, chatbots, sports analytics, personalized pricing, and education.