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.
Este curso faz parte do Programa de cursos integrados Python para todosPython para todos
oferecido por
Programa de cursos integrados Python para todosPython para todosUniversidade de MichiganInformações sobre o curso
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Resultados de carreira do aprendiz
37%
comecei uma nova carreira após concluir estes cursos
38%
consegui um benefício significativo de carreira com este curso
19%
recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 9 horas para completar
Inglês
Legendas: Francês, Português (Brasil), Coreano, Russo, Inglês, Espanhol
O que você vai aprender
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
Habilidades que você terá
Data AnalysisPython ProgrammingDatabase (DBMS)Data Visualization (DataViz)
Resultados de carreira do aprendiz
37%
comecei uma nova carreira após concluir estes cursos
38%
consegui um benefício significativo de carreira com este curso
19%
recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 9 horas para completar
Inglês
Legendas: Francês, Português (Brasil), Coreano, Russo, Inglês, Espanhol
oferecido por
Universidade de 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.
Programa - O que você aprenderá com este curso
1 hora 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.
1 hora para concluir
4 vídeos (Total 36 mín.), 5 leituras, 1 teste
4 videos
Unicode Characters and Strings17min
Office Hours in Den Haag, Netherlands3min
Interview: John Resig and Pam Fox - Khan Academy11min
5 leituras
Capstone Overview10min
Help Us Learn More About You!10min
Python Textbook10min
Coming from Python 2 - Encoding Data in Python 310min
Capstone Completion Options10min
1 exercício prático
Python for Everybody - A Review
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 optional Honors 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.
2 horas para concluir
6 vídeos (Total 61 mín.), 2 leituras, 1 teste
6 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
2 leituras
Building a Search Engine - Introduction10min
Peer Graded Assignment - Instructor Input10min
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.
1 hora para concluir
2 vídeos (Total 9 mín.), 2 leituras
2 leituras
Identifying Your Data Source - Introduction10min
List of Data Sources (Instructional Staff Curated)10min
2 horas para concluir
Spidering and Modeling Email Data
In our second optional Honors 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.
2 horas para concluir
5 vídeos (Total 49 mín.), 1 leitura, 1 teste
5 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
1 leituras
Spidering and Modeling Email Data - Introduction10min
Avaliações
Principais avaliações do TRABALHO DE CONCLUSÃO DE CURSO: RECUPERAÇÃO, PROCESSAMENTO E VISUALIZAÇÃO DE DADOS COM PYTHON
por BC28 de Abr de 2020
Now I understand how data mining, API's and dumping and retrieving data from a database works. Excellent course to start understanding how python can be used to work with data sources on the internet.
por JC25 de Mai de 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 NS9 de Abr de 2016
Python for everyone is One of the Best Course on MOOC platform . Dr. Chuck made it interesting and Knowledgeable. Way back 3 Months ,I can't even thing of the stuff that I leaned and implemented .
por RG30 de Out de 2017
Excellent certificate; the project was a bit too easy, but I guess its purpose was to show that something seemingly complex was the result of breaking things into simpler and more manageable pieces.
Sobre Programa de cursos integrados Python para todosPython para todos
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.
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