# Introduction to Data Science using Python

- 2018-04-24 04:31 PM
- 598

**Are you completely new to Data science?
Have you been hearing these buzz words like Machine learning, Data Science, Data Scientist, Text analytics, Statistics and don't know what this is?
Do you want to start or switch career to Data Science and analytics?
This course will the first data science course in a series of courses. Consider this course as a 101 level course, where I don't go too much deep into any particular statistical area, but rather just cover enough to raise your curiosity in the field of Data Science and Analytics.**

Machine Learning A-Z™: Hands-On Python & R In Data Science ☞ http://edusavecoupon.net/p/SJw1YoTMg

R Programming A-Z™: R For Data Science With Real Exercises! ☞ http://edusavecoupon.net/p/H1ISqDVMx

Tableau 10 A-Z: Hands-On Tableau Training For Data Science! ☞ http://edusavecoupon.net/p/H11NbFMYZ

Deep Learning A-Z™: Hands-On Artificial Neural Networks

☞ http://edusavecoupon.net/p/BkhKBKGFW

Data Science A-Z™: Real-Life Data Science Exercises Included

☞ http://edusavecoupon.net/p/HJvEaSXBx

Python for Data Science and Machine Learning Bootcamp

☞ http://edusavecoupon.net/p/BJzWmGFGg

Data Science, Deep Learning, & Machine Learning with Python

☞ http://edusavecoupon.net/p/BkS5nEmZg

The Python Mega Course: Build 10 Real World Applications

☞ http://edusavecoupon.net/p/rJqdSDxIl

Are you completely new to Data science?

Have you been hearing these buzz words like Machine learning, Data Science, Data Scientist, Text analytics, Statistics and don’t know what this is?

Do you want to start or switch career to Data Science and analytics?

If yes, then I have a new course for you. In this course, I cover the absolute basics of Data Science and Machine learning. This course will not cover in-depth algorithms. I have split this course into 3 Modules. This module, takes a 500,000ft. view of what Data science is and how is it used. We will go through commonly used terms and write some code in Python. I spend some time walking you through different career areas in the Business Intelligence Stack, where does Data Science fit in, What is Data Science and what are the tools you will need to get started. I will be using Python and Scikit-Learn Package in this course. I am not assuming any prior knowledge in this area. I have given some reading materials, which will help you solidify the concepts that are discussed in this lectures.

This course will the first data science course in a series of courses. Consider this course as a 101 level course, where I don’t go too much deep into any particular statistical area, but rather just cover enough to raise your curiosity in the field of Data Science and Analytics.

The other modules will cover more complex concepts.

Who is the target audience?

Anyone who wants to learn about Data Science from absolute scratch.

Anyone who wants to switch or make a career in Data Science and Analytics

Anyone who is curious to know what is Data Science and what does a Data Scientist do in his/her day job.

Video source via: Udemy

☞ Elasticsearch 7 and the Elastic Stack - In Depth & Hands On!

☞ Machine Learning A-Z™: Hands-On Python & R In Data Science

☞ Python for Data Science and Machine Learning Bootcamp

☞ Deep Learning A-Z™: Hands-On Artificial Neural Networks

☞ Data Science A-Z™: Real-Life Data Science Exercises Included

☞ The Data Science Course 2019: Complete Data Science Bootcamp

☞ Python A-Z™: Python For Data Science With Real Exercises!

Website: http://bit.ly/2pN2aXx

Playlist: http://bit.ly/2Eyn3dI

Website: http://bit.ly/2Hay229

Fanpage: http://bit.ly/2qi5j1A

Twitter: http://bit.ly/2GOyTlA

Pinterest: http://bit.ly/2qihWtz

Tumblr: http://bit.ly/2qjBcGo

#### Suggest

☞ Python for Data Science and Machine Learning

☞ What Is Data Science? | Data Science For Beginners | Data Science Using R

☞ AI vs Machine Learning vs Deep Learning

☞ Data Science Full Course - Learn Data Science in 10 Hours | Data Science For Beginners

☞ Neural Networks Explained - Machine Learning Tutorial for Beginners