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.
Python Data Analysis
This course is part of Introduction to Scripting in Python Specialization
Instructors: Scott Rixner
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There are 4 modules in this course
This module will teach you about Python's dictionary data type and its capabilities. Dictionaries are used to map keys to values within programs.
What's included
7 videos2 readings1 assignment
This module will teach you about storing tabular data within Python programs using lists and dictionaries.
What's included
4 videos2 readings1 assignment
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.
What's included
8 videos4 readings2 app items
This module will teach you how to sort data in Python. You will organize and analyze tabular data.
What's included
6 videos3 readings1 app item
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Recommended if you're interested in Software Development
University of Colorado Boulder
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University of California, Davis
Duke University
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Reviewed on Aug 23, 2018
This is an excellent program. I have written most complicated and exciting Python programs, I have ever thought that I could write!
Reviewed on Dec 4, 2020
more so a data management and cleaning course rather than an actual analysis course. Was expecting more statistical analysis computation
Reviewed on Jun 1, 2020
Overall, this is a great course, However, used baseball as the theme of the final project is really not a good idea!
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