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Capstone: Retrieving, Processing, and Visualizing Data with Python

In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. The projects will involve all the eleme...
4.7
4.7/5
(11,594 reviews)
199,137 students
Created by

9.0

Classbaze Grade®

N/A

Freshness

8.7

Popularity

8.8

Material

Capstone: Retrieving
Platform: Coursera
Video: 3h 23m
Language: English

Best Data Analysis classes:

Classbaze Rating

Classbaze Grade®

9.0 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.7 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.8 / 10
Video Score: 8.1 / 10
The course includes 3h 23m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 49 minutes of 559 Data Analysis courses on Coursera.
Detail Score: 8.3 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

14 articles.
0 resource.
0 exercise.
4 tests or quizzes.

In this page

About the 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.

What can you learn from this course?

✓ 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

What you need to start the course?

The course creator has not defined the requirements for this course.

Who is this course is made for?

The course creator hasn’t defined the level of this course.

Are there coupons or discounts for Capstone: Retrieving, Processing, and Visualizing Data with Python ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.
The average price is $8.1 of 559 Data Analysis courses. So this course is 100% cheaper than the average Data Analysis course on Coursera.

Will I be refunded if I'm not satisfied with the Capstone: Retrieving, Processing, and Visualizing Data with Python course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Charles Russell Severance?

Charles Russell Severance has created 45 courses that got 664 reviews which are generally positive. Charles Russell Severance has taught 2,961,882 students and received a 4.85 average review out of 664 reviews. Depending on the information available, we think that Charles Russell Severance is an instructor that you can trust.
School of Information
University of Michigan
Charles Severance (a.k.a. Dr. Chuck) is a Clinical Professor at the University of Michigan School of Information, where he teaches various technology-oriented courses including programming, database design, and Web development. Chuck has written a number of books including Using Google App Engine, and Python for Everybody. His research field is in the building of learning management systems such as Sakai, Moodle, Blackboard, ANGEL, and others. He was the chief architect for the Sakai Project, a learning management system used at about 300 schools worldwide and wrote the book Sakai: Free as in Freedom, that describes his experiences as one of the leaders of the project. In the mid-1990s he was the host of Internet:TCI, a national television talk show about the Internet that ran for several years on the TCI cable system. He was long-time a columnist for the IEEE Computer Magazine writing a monthly column called “Computing Conversations” that features video interviews with famous technology leaders and innovators.

9.0

Classbaze Grade®

N/A

Freshness

8.7

Popularity

8.8

Material

Platform: Coursera
Video: 3h 23m
Language: English

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