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Python Data Analysis

This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn...

By Scott Rixner on Coursera

About This Course

This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data. By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.

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Frequently Asked Questions

How much does Python Data Analysis cost?

Visit the Python Data Analysis course page for current pricing and available discounts.

Who teaches Python Data Analysis?

Python Data Analysis is taught by Scott Rixner, Rice University.

What skill level is Python Data Analysis for?

This course is designed for beginner learners.

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Students0
Duration7 hours
LevelBeginner
Languageen
PlatformCoursera