An Introduction to Data Science

Visualize and Play with data, try to handle data efficiently..
Rating: 3.4 out of 5 (58 ratings)
3,000 students
English
English [Auto]
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 sections6 lectures43m total length
  • Introduction
    04:12

Instructor

Google Certified Python Expert | Google Chrome Extension Dev
Kumar Rajmani Bapat
  • 4.1 Instructor Rating
  • 106 Reviews
  • 17,428 Students
  • 2 Courses

Hello World.....

I am a self driven motivated individual with an ability to grow myself and others.

My field of Specialization is Data Science and Machine Learning .

I have hands on experience in Analyzing Data Making Predictions

using Python and R .

I also want to learn cloud to deploy my projects there.

And if you like may contents and Exclusive Materials and Documentation you can provide your Rating and Feedback.

And

For Financial Support :

Indian's can contribute at  upi id- k.rajmani@paytm

and Foreigner's / NRI's  can contribute using PayPal

on below email id-

paramsiddha@gmail.com

please contribute to support the efforts for developing new exclusive resources and contents like this

support so that will continue bringing more such courses to stay productive and updated with latest trends in Data Science and Machine Learning.

Also give your feedback and rating.

Thank you.