Capstone: Retrieving, Processing, and Visualizing Data with Python
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Capstone: Retrieving, Processing, and Visualizing Data with Python at Coursera Overview
Capstone: Retrieving, Processing, and Visualizing Data with Python
at Coursera
Duration | 10 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Capstone: Retrieving, Processing, and Visualizing Data with Python at Coursera Highlights
Capstone: Retrieving, Processing, and Visualizing Data with Python
at Coursera
- 38% got a tangible career benefit from this course
- 19% got a pay increase or promotion
- Earn a certificate upon successful completion from University of Michigan
- Learn from expert faculty of University of California
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Capstone: Retrieving, Processing, and Visualizing Data with Python at Coursera Course details
Capstone: Retrieving, Processing, and Visualizing Data with Python
at Coursera
Skills you will learn
What are the course deliverables?
- Create email data visualizations
- Make use of unicode characters and strings
- Select and process the data of your choice
- Understand the basics of building a search engine
More about this course
- In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. The projects will involve all the elements of the specialization. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find. Chapters 15 and 16 from the book Python for Everybody will serve as the backbone for the capstone. This course covers Python 3.
Capstone: Retrieving, Processing, and Visualizing Data with Python at Coursera Curriculum
Capstone: Retrieving, Processing, and Visualizing Data with Python
at Coursera
Welcome to the Capstone
Building a Search Engine
Exploring Data Sources (Project)
Spidering and Modeling Email Data
Accessing New Data Sources (Project)
Visualizing Email Data
Visualizing new Data Sources (Project)
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