HOME > IT & Software > An Introduction to Data Science

An Introduction to Data Science

SynopsisAn Introduction to Data Science, available at Free, has an av...
An Introduction to Data Science  No.1

An Introduction to Data Science, available at Free, has an average rating of 3.4, with 6 lectures, 5 quizzes, based on 261 reviews, and has 10546 subscribers.

You will learn about Data Science and its History Road map or procedure to master data science and become a data scientist. It’s requirements and application in various fields Difference Between Noise and Real Data How to become expert in data science . what are the skills required to be data scientist. This course is ideal for individuals who are Anyone who is curious about data science. or Students in field of data science. or Data experts to master their skills and become data scientist . or Anyone who is willing to learn can join. It is particularly useful for Anyone who is curious about data science. or Students in field of data science. or Data experts to master their skills and become data scientist . or Anyone who is willing to learn can join.

Enroll now: An Introduction to Data Science

Summary

Title: An Introduction to Data Science

Price: Free

Average Rating: 3.4

Number of Lectures: 6

Number of Quizzes: 5

Number of Published Lectures: 6

Number of Published Quizzes: 5

Number of Curriculum Items: 12

Number of Published Curriculum Objects: 12

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

  • Data Science and its History
  • Road map or procedure to master data science and become a data scientist.
  • It’s requirements and application in various fields
  • Difference Between Noise and Real Data
  • How to become expert in data science .
  • what are the skills required to be data scientist.
  • Who Should Attend

  • Anyone who is curious about data science.
  • Students in field of data science.
  • Data experts to master their skills and become data scientist .
  • Anyone who is willing to learn can join.
  • Target Audiences

  • Anyone who is curious about data science.
  • Students in field of data science.
  • Data experts to master their skills and become data scientist .
  • Anyone who is willing to learn can join.
  • # This course focuses on the  fundamental aspects Data Science.

    Which is developing  field  &  alsothe future of Artificial Intelligence.

    you will also get to know :

    # Basic concepts like noise vs data and different types of graphs to represent data.

    # All you need to know to master data science and get your dream job.

    # The course content is based on Research and its real.

    # The upcoming courses will be based on relevant topics for which this will be prerequisite.

    # So complete this course and stay connected to me to get info about upcoming courses.

    & this will help you to boost up your career..

    Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Introduction

    Chapter 2: History and connections..

    Lecture 1: Data Science and its History

    Chapter 3: Road Map

    Lecture 1: The Road

    Chapter 4: Noise vs Real Data.

    Lecture 1: Noise n data

    Chapter 5: Applications of D.S & Required Skills description

    Lecture 1: Data wizard

    Chapter 6: The Skills of Data Scientist

    Lecture 1: The Expert

    Instructors

  • An Introduction to Data Science  No.2
    Kumar Rajmani Bapat
    Google Certified Python Expert | Google Chrome Extension Dev
  • Rating Distribution

  • 1 stars: 45 votes
  • 2 stars: 43 votes
  • 3 stars: 61 votes
  • 4 stars: 59 votes
  • 5 stars: 53 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!