Informações sobre o curso
4.6
3,348 classificações
494 avaliações
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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Prazos flexíveis

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Approx. 7 hours to complete

Sugerido: 6 weeks of study, 2-4 hours/week...
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O que você vai aprender

  • 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

Habilidades que você terá

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

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Approx. 7 hours to complete

Sugerido: 6 weeks of study, 2-4 hours/week...
Comment Dots

English

Legendas: English...

Programa - O que você aprenderá com este curso

Week
1
Clock
2 horas para concluir

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 vídeos (Total de 35 min), 5 leituras, 1 teste
Video4 videos
Unicode Characters and Strings17min
Office Hours in Den Haag, Netherlands3min
Interview: John Resig and Pam Fox - Khan Academy11min
Reading5 leituras
Capstone Overview10min
Help Us Learn More About You!10min
Python Textbook10min
Coming from Python 2 - Encoding Data in Python 310min
Notice for Auditing Learners: Assignment Submission10min
Quiz1 exercício prático
Using Encoded Data in Python 310min
Week
2
Clock
2 horas para concluir

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 vídeos (Total de 61 min), 1 leitura, 1 teste
Video6 videos
Worked Example: Page Rank - Spidering (Chapter 16)17min
Worked Example: Page Rank - Computation (Chapter 16)15min
Worked Example: Page Rank - Visualization (Chapter 16)6min
Office Hours Detroit, Michigan1min
Interview: Anil Jain - Image Processing11min
Reading1 leituras
Building a Search Engine - Introduction10min
Week
3
Clock
1 hora para concluir

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 vídeos (Total de 9 min), 2 leituras
Video2 videos
Interview: Bruce Schneier - The Security Mindset7min
Reading2 leituras
Identifying Your Data Source - Introduction10min
List of Data Sources (Instructional Staff Curated)10min
Week
4
Clock
2 horas para concluir

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 vídeos (Total de 49 min), 1 leitura, 1 teste
Video5 videos
Worked Example: Gmane / Mail - Retrieval (Chapter 16)17min
Worked Example: Gmane / Mail - Model (Chapter 16)12min
Office Hours Baltimore, MD1min
Interview: Bruce Schneier - Building Cryptographic Systems11min
Reading1 leituras
Spidering and Modeling Email Data - Introduction10min
4.6
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Melhores avaliações

Destaques
Informative course
(132)
Relevant project
(132)
por 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.

por 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 .

Instrutores

Charles Severance

Associate Professor
School of Information

Sobre 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....

Sobre o Programa de cursos integrados 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

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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