Popular Applications of Data Science
Learn to work with various applications built concretely on Data Science concepts. Enroll in this free course to get hands-on with data science applications and understand architecture, components, and career opportunities in Data
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1.5 Hrs
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About this course
The Applications of Data Science course caters to Data Science enthusiasts to work with various real-time problems. The course begins with giving you an introduction to Data Science and helps you get your hands-on working with the application to develop solutions for data science problems. You will learn about various components of data science and understand its importance. The latter part of this course comprehends popular data science applications and points out various career opportunities that the domain has to offer. Take up the quiz assigned at the end of the course to evaluate your gains and avail your certificate. After completing this free, self-paced, beginner's guide to Applications of Data Science, you can embark on your Data Science career with a professional Post-Graduate Data Science certificate course and learn various concepts with millions of aspirants across the globe!
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Course Outline
Introduction to 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.
Why 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.
Data Science Architecture
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.
Components in Data Science
For architecture to work, specific components play a significant role. This module will go through four essential components of Data Science in detail.
Popular Applications
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.
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