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Introduction to Data Science
Rating: 4.5 out of 5(29 ratings)
184 students

Introduction to Data Science

Everything you want to know about this world !
Created byK Raj
Last updated 4/2021
English
English [Auto],

What you'll learn

  • You'll understand the world of Data Science, Analytics and Artificial Intelligence
  • You'll be able to identify different worlds of Data Science such as AI, ML and DL
  • You'll be able to identify different tools, languages and framework used in the Data Science market
  • You'll be able to build an understanding of different job profiles pertaining to Data Science in the market
  • You'll be able to identify the suitable areas of Data Science which fits your profile and take the action accordingly.

Course content

5 sections • 11 lectures • 1h 39m total length

  • Introduction1:47

    Explore what data science is, differentiate artificial intelligence, machine learning, and deep learning, and learn topics, algorithms, and the data science project lifecycle.

  • Objective of the Course4:32

    Define data science and its frameworks, differentiate AI, ML, and DL, compare data warehousing, descriptive to prescriptive analytics, data types, tools, roles, and the analytics project lifecycle.

  • What is Data Science and Difference between AI ML and DL ?16:29

    Data science combines methods and tools to extract insights from structured and unstructured data, and it distinguishes AI, ML, and DL while emphasizing statistics and domain knowledge.

Requirements

  • There is no requirement or pre-requisites to join this course.
  • This course is a very generic and can be used in real by anyone who is entering into the Data Science space for the first time.
  • Thus in order to join this course, there is no as such a stringent requirement of any knowledge or skillset.

Description

Recently in last couple of years we have seen and listened the buzzwords such as Data Science, Artificial Intelligence, Machine

Learning and Deep Learning. Most of us if we are not very close to this world of technology take all these buzz words with same

context and consider them as same. But in reality they are quite different and covers different parts of the Data Science and Analytics

world.


This course has been designed for beginners who are new to it and wants to enter into this field. Obviously it has a lot of scope in the

upcoming years and there is no stopping, this will grow even further where the entire world will be digitized and automated.


It's the right time to enter into this space and this course will help understand the different areas of Data Science, their scope

in the market. It will also help us know different available tools in the market, job profiles and the expectations from the companies

if someone is preparing for a job interview.


This course will help students passed out from the college, professionals from various backgrounds entering into the space for the first time and even the consultants.


Hope this course will be useful and I will keep adding new sections to the course to make it more useful.


Thanks for joining the course and Happy Learning !

Who this course is for:

  • This course is meant for all who want to enter into the Data Science and Analytics space for the first time and will be helpful for:
  • Data Science Starters
  • Analytics Starters
  • Data Science Enthusiast
  • Students
  • Professionals from various background

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