À propos de ce cours
4.6
2,925 ratings
453 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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Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
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Dates limites flexibles

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

Approx. 7 heures pour terminer
Comment Dots

English

Sous-titres : English

Ce que vous allez apprendre

  • 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

Compétences que vous acquerrez

Python ProgrammingData VisualizationDatabaseData Analysis
Stacks
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

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

Approx. 7 heures pour terminer
Comment Dots

English

Sous-titres : English

Programme du cours : ce que vous apprendrez dans ce cours

1

Section
Clock
2 heures pour terminer

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 vidéos (Total 35 min), 5 lectures, 1 quiz
Video4 vidéos
Unicode Characters and Strings17 min
Office Hours in Den Haag, Netherlands3 min
Interview: John Resig and Pam Fox - Khan Academy11 min
Reading5 lectures
Capstone Overview10 min
Help Us Learn More About You!10 min
Python Textbook10 min
Coming from Python 2 - Encoding Data in Python 310 min
Notice for Auditing Learners: Assignment Submission10 min
Quiz1 exercice pour s'entraîner
Using Encoded Data in Python 310 min

2

Section
Clock
2 heures pour terminer

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 vidéos (Total 61 min), 1 lecture, 1 quiz
Video6 vidéos
Worked Example: Page Rank - Spidering (Chapter 16)17 min
Worked Example: Page Rank - Computation (Chapter 16)15 min
Worked Example: Page Rank - Visualization (Chapter 16)6 min
Office Hours Detroit, Michigan1 min
Interview: Anil Jain - Image Processing11 min
Reading1 lecture
Building a Search Engine - Introduction10 min

3

Section
Clock
1 heure pour terminer

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 vidéos (Total 9 min), 2 lectures
Video2 vidéos
Interview: Bruce Schneier - The Security Mindset7 min
Reading2 lectures
Identifying Your Data Source - Introduction10 min
List of Data Sources (Instructional Staff Curated)10 min

4

Section
Clock
2 heures pour terminer

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 vidéos (Total 49 min), 1 lecture, 1 quiz
Video5 vidéos
Worked Example: Gmane / Mail - Retrieval (Chapter 16)17 min
Worked Example: Gmane / Mail - Model (Chapter 16)12 min
Office Hours Baltimore, MD1 min
Interview: Bruce Schneier - Building Cryptographic Systems11 min
Reading1 lecture
Spidering and Modeling Email Data - Introduction10 min
4.6
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Meilleurs avis

Points forts
Informative course
(132)
Relevant project
(132)
par 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.

par 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 .

Enseignant

Charles Severance

Associate Professor
School of Information

À propos de 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....

À propos de la Spécialisation 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

Foire Aux Questions

  • 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.

D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.