Об этом курсе
4.6
3,118 ratings
471 reviews
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....
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Предполагаемая нагрузка: 6 weeks of study, 2-4 hours/week

Прибл. 7 ч. на завершение
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English

Субтитры: English

Чему вы научитесь

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

Приобретаемые навыки

Data AnalysisPython ProgrammingDatabase (DBMS)Data Visualization (DataViz)
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Clock

Предполагаемая нагрузка: 6 weeks of study, 2-4 hours/week

Прибл. 7 ч. на завершение
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English

Субтитры: English

Программа курса: что вы изучите

1

Раздел
Clock
2 ч. на завершение

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....
Reading
4 видео (всего 35 мин.), 5 материалов для самостоятельного изучения, 1 тест
Video4 видео
Unicode Characters and Strings17мин
Office Hours in Den Haag, Netherlands3мин
Interview: John Resig and Pam Fox - Khan Academy11мин
Reading5 материала для самостоятельного изучения
Capstone Overview10мин
Help Us Learn More About You!10мин
Python Textbook10мин
Coming from Python 2 - Encoding Data in Python 310мин
Notice for Auditing Learners: Assignment Submission10мин
Quiz1 практическое упражнение
Using Encoded Data in Python 310мин

2

Раздел
Clock
2 ч. на завершение

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. ...
Reading
6 видео (всего 61 мин.), 1 материал для самостоятельного изучения, 1 тест
Video6 видео
Worked Example: Page Rank - Spidering (Chapter 16)17мин
Worked Example: Page Rank - Computation (Chapter 16)15мин
Worked Example: Page Rank - Visualization (Chapter 16)6мин
Office Hours Detroit, Michigan1мин
Interview: Anil Jain - Image Processing11мин
Reading1 материал для самостоятельного изучения
Building a Search Engine - Introduction10мин

3

Раздел
Clock
1 ч. на завершение

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....
Reading
2 видео (всего 9 мин.), 2 материалов для самостоятельного изучения
Video2 видео
Interview: Bruce Schneier - The Security Mindset7мин
Reading2 материала для самостоятельного изучения
Identifying Your Data Source - Introduction10мин
List of Data Sources (Instructional Staff Curated)10мин

4

Раздел
Clock
2 ч. на завершение

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....
Reading
5 видео (всего 49 мин.), 1 материал для самостоятельного изучения, 1 тест
Video5 видео
Worked Example: Gmane / Mail - Retrieval (Chapter 16)17мин
Worked Example: Gmane / Mail - Model (Chapter 16)12мин
Office Hours Baltimore, MD1мин
Interview: Bruce Schneier - Building Cryptographic Systems11мин
Reading1 материал для самостоятельного изучения
Spidering and Modeling Email Data - Introduction10мин
4.6
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получил значимые преимущества в карьере благодаря этому курсу
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Лучшие рецензии

Основные моменты
Informative course
(132)
Relevant project
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автор: NSApr 10th 2016

Python for everyone is One of the Best Course on MOOC platform .\n\nDr. Chuck made it interesting and Knowledgeable. Way back 3 Months ,I can't even thing of the stuff that I leaned and implemented .

автор: JCMay 26th 2017

I found this course a little bit easier that some of the previous courses, however, it allowed me to gain experience managing a larger projects that encompass several languages and multiple programs.

Преподаватель

Charles Severance

Associate Professor
School of Information

О 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....

О специализации ''Python for Everybody'

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....
Python for Everybody

Часто задаваемые вопросы

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

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