Presentation of the course
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General Information
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This course is self-paced. There is no instructor to follow or to rush you along - you learn on your own schedule. This also means you are going to need to be disciplined in your studies.
You can start it at any time and you can take as long as you need to complete it. Your place in the course will be remembered and your labs will be saved. However, we strongly recommend that you don't take prolonged breaks between lessons as the mind tends to forget what it does not practice.
You can review the course as many times as you wish, even after completing it.
This is a hands-on course where you will gain practical skill by doing hands-on labs. We provide a a complete virtual lab environment on the cloud that you can access from anywhere as long as you have internet connection.
We strongly recommend that you use Chrome or Firefox browser
You can watch videos and read course materials on a mobile device. However, you will likely need to use a computer for hands on labs as small screen size and lack of keyboard make mobile devices a poor choice for hands on labs.

Prerequisites
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- Familiarity with Jupyter Notebooks

Recommended Skills prior to taking this course
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- Some Python programming experience

Learning Objectives
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The objectives of this course are to get you started with Python as a programming language and to give you a taste of how to start working with data in Python.

In this course you will learn about:

- What is Python and why it is useful
- The application of Python
- How to define variables
- Sets and conditional statements in Python
- The purpose of having functions in Python
- How to operate on files to read and write data in Python
- How to use pandas, a must-have package for anyone attempting data analysis in Python

###### tags: `Data Science with Python`