Learning Python for Data Analysis and Visualization

Use the numpy library to create and manipulate arrays. Use the pandas module with Python to create and structure data. Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets. Create data visualizations using matplotlib and the seaborn modules with python. and Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!

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4.3 (10,355 ratings)

114,017 students enrolled

Created by Jose Portilla

Last updated 11/2018

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Description

This course will give you the resources to learn python and effectively use it analyze and visualize data! Start your career in Data Science!

You'll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.

You will also get lifetime access to over 100 example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!

What you'll learn

Have an intermediate skill level of Python programming.
Use the Jupyter Notebook Environment.
Use the numpy library to create and manipulate arrays.
Use the pandas module with Python to create and structure data.
Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.
Create data visualizations using matplotlib and the seaborn modules with python.
Have a portfolio of various data analysis projects.

Requirements

Basic math skills.

Basic to Intermediate Python Skills

Have a computer (either Mac, Windows, or Linux)

Desire to learn!

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Learning Python for Data Analysis and Visualization