An Introduction to Data Science
- IT & Software
- Nov 20, 2024

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
Who Should Attend
Target Audiences
# 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

Kumar Rajmani Bapat
Google Certified Python Expert | Google Chrome Extension Dev
Rating Distribution
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!
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