This course is part of the Python for Everybody Specialization

4.7
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12,869 ratings

Charles Russell Severance

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Part of the Master of Applied Data Science degree
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Python for Everybody SpecializationUniversity of Michigan

About this Course

105,644 recent views

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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 5 of 5 in the

Python for Everybody Specialization

Approx. 9 hours to complete

English

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What you will learn

Make use of unicode characters and strings
Understand the basics of building a search engine
Select and process the data of your choice
Create email data visualizations

Skills you will gain

Data Analysis
Python Programming
Database (DBMS)
Data Visualization (DataViz)

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 5 of 5 in the

Python for Everybody Specialization

Approx. 9 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.86/5 (887 Ratings)

Charles Russell Severance

Clinical Professor

School of Information

3,709,062 Learners

47 Courses

Offered by

University of Michigan

Start working towards your Master's degree

This course is part of the 100% online Master of Applied Data Science from University of Michigan. If you are admitted to the full program, your courses count towards your degree learning.

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Syllabus - What you will learn from this course

Content Rating98%(14,283 ratings)

Week

Week 1

2 hours to complete

Welcome to the Capstone

2 hours to complete

4 videos (Total 36 min), 6 readings, 1 quiz

Week

Week 2

2 hours to complete

Building a Search Engine

2 hours to complete

6 videos (Total 61 min), 2 readings, 1 quiz

Week

Week 3

1 hour to complete

Exploring Data Sources (Project)

The optional Capstone project is your opportunity to select, process, and visualize the data of your choice, and receive feedback from your peers. The project is not graded, and can be as simple or complex as you like. This week's assignment is to identify a data source and make a short discussion forum post describing the data source and outlining some possible analysis that could be done with it. You will not be required to use the data source presented here for your actual analysis.

1 hour to complete

2 videos (Total 9 min), 2 readings

Week

Week 4

2 hours to complete

Spidering and Modeling Email Data

2 hours to complete

5 videos (Total 49 min), 1 reading, 1 quiz

Reviews

4.7

1694 reviews

5 stars
81.67%
4 stars
12.71%
3 stars
3.51%
2 stars
1.11%
1 star
0.97%

HIGHLIGHTS

"Informative course" in 132 reviews

"Relevant project" in 132 reviews

TOP REVIEWS FROM CAPSTONE: RETRIEVING, PROCESSING, AND VISUALIZING DATA WITH PYTHON

by DCOct 30, 2016

The sample solution and explanations are very good since it gives a complete whole picture of doing a big data analysis project. The assignment is very easy, but good to get the specialization.

by ASMay 6, 2020

One of the finest specializations it has been my privilege to take up. Hope to complete the Honors portion soon.

Thanks and regards to the teaching team and, of course, to Coursera.

by TGApr 12, 2020

I am impressed at how much information we can search and analyze on the web. This specialization has really opened my eyes to how easy it is to gather information from the web. Thanks Dr. Chuck!

by JSMay 8, 2019

Wow, It's been great learning the course material. I am so happy to have had the opportunity to learn this all from Dr. Chuck. I have a new skill set and a new appreciation for programming.

View all reviews

About the Python for Everybody Specialization

This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Capstone: Retrieving, Processing, and Visualizing Data with Python

About this Course

What you will learn

Skills you will gain