Acerca de este Curso
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Aprox. 8 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Qué aprenderás

  • 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 obtendrás

Data AnalysisPython ProgrammingDatabase (DBMS)Data Visualization (DataViz)

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 8 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
2 horas para completar

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 videos (Total 35 minutos), 5 readings, 1 quiz
4 videos
Unicode Characters and Strings17m
Office Hours in Den Haag, Netherlands3m
Interview: John Resig and Pam Fox - Khan Academy11m
5 lecturas
Capstone Overview10m
Help Us Learn More About You!10m
Python Textbook10m
Coming from Python 2 - Encoding Data in Python 310m
Notice for Auditing Learners: Assignment Submission10m
1 ejercicios de práctica
Using Encoded Data in Python 310m
Semana
2
2 horas para completar

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 videos (Total 61 minutos), 2 readings, 1 quiz
6 videos
Worked Example: Page Rank - Spidering (Chapter 16)17m
Worked Example: Page Rank - Computation (Chapter 16)15m
Worked Example: Page Rank - Visualization (Chapter 16)6m
Office Hours Detroit, Michigan1m
Interview: Anil Jain - Image Processing11m
2 lecturas
Building a Search Engine - Introduction10m
Peer Graded Assignment - Instructor Input10m
Semana
3
1 horas para completar

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.

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2 videos (Total 9 minutos), 2 readings
2 videos
Interview: Bruce Schneier - The Security Mindset7m
2 lecturas
Identifying Your Data Source - Introduction10m
List of Data Sources (Instructional Staff Curated)10m
Semana
4
2 horas para completar

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 videos (Total 49 minutos), 1 reading, 1 quiz
5 videos
Worked Example: Gmane / Mail - Retrieval (Chapter 16)17m
Worked Example: Gmane / Mail - Model (Chapter 16)12m
Office Hours Baltimore, MD1m
Interview: Bruce Schneier - Building Cryptographic Systems11m
1 lecturas
Spidering and Modeling Email Data - Introduction10m
4.6
590 revisionesChevron Right

40%

comenzó una nueva carrera después de completar estos cursos

39%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

19%

consiguió un aumento de sueldo o ascenso

Principales revisiones sobre Capstone: Retrieving, Processing, and Visualizing Data with Python

Aspectos destacados
Relevant project
(132)
Informative course
(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 .

Instructores

Avatar

Charles Severance

Professor
School of Information

Acerca de Universidad de Míchigan

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....

Acerca del programa especializado 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

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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