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Python Data Analysis

Python Data Analysis
Rice University Online Course Highlights
  • 4 weeks long
  • 5-7 hours per week
  • Learn for FREE, Up-gradable
  • Self-Paced
  • Taught by: Scott Rixner, Joe Warren
  • View Course Syllabus

Online Course Syllabus:

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.

The course is four modules long and is designed to be completed in four weeks.


This module will teach you about Python’s dictionary data type and its capabilities. Dictionaries are used to map keys to values within programs.

Tabular Data and Nested Data Structures
This module will teach you about storing tabular data within Python programs using lists and dictionaries.
Tabular Data and CSV Files
This module will teach you the basics of CSV files and how to read them from Python programs. We will discuss the use of Python’s csv module to help you access tabular data in CSV files.
Organizing Data
This module will teach you how to sort data in Python. You will organize and analyze tabular data.

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