Об этом курсе: 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.

Автор: University of Michigan

Преподаватели: Charles Severance, Associate Professor
School of Information

Основные сведения	Course 5 of 5 in the Python for Everybody Specialization
Выполнение	6 weeks of study, 2-4 hours/week
Язык	English
Как пройти курс	Чтобы пройти курс, выполните все оцениваемые задания.
Оценки пользователей	4.6 звезды Средняя оценка пользователей: 4.6Посмотрите, что пишут учащиеся

Программа курса

НЕДЕЛЯ 1

Welcome to the Capstone

Congratulations to everyone for making it this far. Before you begin, please view the Introduction video and read the Capstone Overview. The Course Resources section contains additional course-wide material that you may want to refer to in future weeks.

4 видео, 5 материала для самостоятельного изучения

Reading: Capstone Overview
Reading: Help Us Learn More About You!
Reading: Python Textbook
Reading: Coming from Python 2 - Encoding Data in Python 3
Видео: Unicode Characters and Strings
Reading: Notice for Auditing Learners: Assignment Submission
Видео: Office Hours in Den Haag, Netherlands
Видео: Interview: John Resig and Pam Fox - Khan Academy

Оцениваемый: Using Encoded Data in Python 3

НЕДЕЛЯ 2

Building a Search Engine

This week we will download and run a simple version of the Google PageRank Algorithm and practice spidering some content. The assignment is peer-graded, and the first of three required assignments in the course. This a continuation of the material covered in Course 4 of the specialization, and is based on Chapter 16 of the textbook.

6 видео, 1 материал для самостоятельного изучения

Reading: Building a Search Engine - Introduction
Видео: Worked Example: Page Rank - Spidering (Chapter 16)
Видео: Worked Example: Page Rank - Computation (Chapter 16)
Видео: Worked Example: Page Rank - Visualization (Chapter 16)
Видео: Office Hours Detroit, Michigan
Видео: Interview: Anil Jain - Image Processing

Оцениваемый: Peer Grade: Page Rank

НЕДЕЛЯ 3

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.

2 видео, 2 материала для самостоятельного изучения

Reading: Identifying Your Data Source - Introduction
Reading: List of Data Sources (Instructional Staff Curated)
Discussion Prompt: Identifying a Data Source
Видео: Interview: Bruce Schneier - The Security Mindset

НЕДЕЛЯ 4

Spidering and Modeling Email Data

In our second required assignment, we will retrieve and process email data from the Sakai open source project. Video lectures will walk you through the process of retrieving, cleaning up, and modeling the data.

5 видео, 1 материал для самостоятельного изучения

Reading: Spidering and Modeling Email Data - Introduction
Видео: Worked Example: Gmane / Mail - Retrieval (Chapter 16)
Видео: Worked Example: Gmane / Mail - Model (Chapter 16)
Видео: Office Hours Baltimore, MD
Видео: Interview: Bruce Schneier - Building Cryptographic Systems

Оцениваемый: Loading and Modeling Mail Data

НЕДЕЛЯ 5

Accessing New Data Sources (Project)

The task for this week is to make a discussion thread post that reflects the progress you have made to date in retrieving and cleaning up your data source so can perform your analysis. Feedback from other students is encouraged to help you refine the process.

1 видео, 1 материал для самостоятельного изучения

Reading: Accessing New Data Sources - Introduction
Discussion Prompt: Analyzing a Data Source

НЕДЕЛЯ 6

Visualizing Email Data

In the final required assignment, we will do two visualizations of the email data you have retrieved and processed: a word cloud to visualize the frequency distribution and a timeline to show how the data is changing over time.

3 видео, 1 материал для самостоятельного изучения

Reading: Visualizing Email Data
Видео: Office Hours, Montreal, Canada
Видео: Interview: Nathaniel Borenstein - The Father of MIME

Оцениваемый: Visualizing Email Data

НЕДЕЛЯ 7

Visualizing new Data Sources (Project)

This week you will discuss the analysis of your data to the class. While many of the projects will result in a visualization of the data, any other results of analyzing the data are equally valued, so use whatever form of analysis and display is most appropriate to the data set you have selected.

2 видео, 2 материала для самостоятельного изучения

Reading: Visualizing new Data Sources - Introduction
Discussion Prompt: Data Analysis and Visualization
Видео: Video: Steve Jobs, NeXT and the Internet
Reading: Post-Course Survey

Часто задаваемые вопросы

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Как это работает

Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Авторы

University of Michigan

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

Стоимость

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Рейтинги и отзывы

Оценка 4.6 из 5 по 2,740 отзывам

Not up to the excellent level of the previous four modules of this Specialization. While the hands-on practice of this course are very interesting, the speed and depth at which the code is explained are not satisfactory. Too much is just to be taken 'as is'. Good as an appetizer for other Specializations, definitely not adding much knowledge in itself.

I think this course's aim is promoting one's interest and initiative in using python. And I think Dr Chuck has done great job acheiving that. He is quite devoted and enthusiastic.

After completing the specialization, I can say that this is a thorough course for Python programming that starts from the very basics to a pretty in depth understanding of the programming language. It provides with a complete set of skills that can be applied to your very needs. Highly recommended for beginners and people that want to consolidate their knowledge in Python.