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Overview
Key features
We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.
By the end of the Python Data Visualization course offered by Coursera in partnership with Rice University, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data.
This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.
Programme Structure
Course structure:
- Using Python Documentation
- Writing Documentation
- Line Plots with Pygal
- Installing Packages using PIP
- Python Built-in Modules
- Installing Packages in Thonny
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data View 460 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- No previous experience necessary
- This course is aimed at learners with basic Python knowledge who want to develop skills in acquiring, processing, analyzing, and visualizing data using external Python packages.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
Funding
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