# Introduction to Data Science using Python (Module 1/3)

Introduction to Data Science using Python (Module 1/3)

### Getting Started

*Understand the basics of Data Science and Analytics. Understand how to use Python and Scikit learn. Get a good understanding of all buzz words like "Data Science", "Machine learning", "Data Scientist" etc.Created by Rakesh Gopalakrishnan*

What you'll learn

- Understand the basics of Data Science and Analytics
- Understand how to use Python and Scikit learn
- Get a good understanding of all buzz words like "Data Science", "Machine learning", "Data Scientist" etc.

Requirements

- This course does not have any pre-requisities. All you need is a Windows or a MAC machine.

Description

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.

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