An Introduction to Data Science

Visualize and Play with data, try to handle data efficiently..
Rating: 2.7 out of 5 (42 ratings)
2,459 students
An Introduction to Data Science
Rating: 2.7 out of 5 (42 ratings)
2,459 students
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.

Requirements

  • no prior knowledge about Data Science is required
  • willingness to learn new

Description

# This course focuses on the  fundamental aspects Data Science.

Which is developing  field  &  also the 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.....

Who this course is for:

  • 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.

Course content

6 sections • 6 lectures • 43m total length
  • Introduction
    04:12

Instructor

Google Certified Python Expert | Google Chrome Extension Dev
Kumar Rajmani Bapat
  • 2.7 Instructor Rating
  • 42 Reviews
  • 2,459 Students
  • 1 Course

Hello World.....

I am Quick learner ,coder,singer,chess player and i am curious about data science .

my field of specialization is currently data science.

wanna learn some concepts of programming and go deep in python and machine learning later on.

I also want to teach what i learn to all.

as i greatly believe sharing is caring.