Informações sobre o curso: This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.
Desenvolvido por: University of Michigan
Ministrado por: Charles Severance, Associate Professor
School of Information
| Informações básicas | Curso 4 de 5 no Python para todos Specialization |
| Compromisso | 5 weeks of study, 2-3 hours/week |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 1
Object Oriented Python
To start this class out we cover the basics of Object Oriented Python. We won't be writing our own objects, but since many of the things we use like BeautifulSoup, strings, dictionaries, database connections all use Object Oriented (OO) patterns we should at least understand some of its patterns and terminology.
8 videos, 4 leituras
- Reading: Help us learn more about you!
- Reading: Python Textbook
- Reading: Coming from Python 2 - Encoding Data in Python 3
- Vídeo: Unicode Characters and Strings
- Reading: Notice for Auditing Learners: Assignment Submission
- Vídeo: 14.1 - Object Oriented Definitions and Terminology
- Vídeo: 14.2 - Our First Class and Object
- Vídeo: 14.3 - Object Life Cycle
- Vídeo: 14.4 - Object Inheritance
- Vídeo: Bonus: Interview - Software Engineering - Bertrand Meyer
- Vídeo: Bonus: Office Hours - London
Nota atribuída: Using Encoded Data in Python 3
Nota atribuída: Object Oriented Programming
SEMANA 2
Basic Structured Query Language
We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database.
7 videos
- Vídeo: 15.2 - Using Databases
- Vídeo: 15.3 - Single Table CRUD
- Vídeo: Worked Example: Counting Email in a Database
- Vídeo: Bonus: Office Hours Zagreb, Croatia
- Vídeo: Interview: Elizabeth Fong - The Early Years of SQL
- Vídeo: Worked Example: Twspider.py (Chapter 15)
Nota atribuída: Single-Table SQL
Nota atribuída: Our First Database
Nota atribuída: Counting Email in a Database
SEMANA 3
Data Models and Relational SQL
In this section we learn about how data is stored across multiple tables in a database and how rows are linked (i.e., we establish relationships) in the database.
8 videos
- Vídeo: 15.5 - Representing a Data Model in Tables
- Vídeo: 15.6 - Inserting Relational Data
- Vídeo: 15.7 - Reconstructing Data with JOIN
- Vídeo: Worked Example: Tracks.py (Chapter 15)
- Vídeo: Bonus: Office Hours Perth, Australia
- Vídeo: Bonus Interview: Niklaus Wirth
- Vídeo: Bonus: Office Hours Barcelona
Nota atribuída: Multi-Table Relational SQL
Nota atribuída: Multi-Table Database - Tracks
SEMANA 4
Many-to-Many Relationships in SQL
In this section we explore how to model situations like students enrolling in courses where each course has many students and each student is enrolled in many courses.
5 videos
- Vídeo: Worked Example: roster.py (Chapter 15)
- Vídeo: Bonus: Office Hours Mexico, City
- Vídeo: Bonus Interview: Andrew Tannenbaum - Minix
- Vídeo: Worked Example: Twfriends.py (Chapter 15)
Nota atribuída: Many-to-Many Relationships and Python
Nota atribuída: Many Students in Many Courses
SEMANA 5
Databases and Visualization
In this section, we put it all together, retrieve and process some data and then use the Google Maps API to visualize our data.
6 videos, 2 leituras
- Vídeo: 16.2 - Geocoding Visualization
- Vídeo: Worked Example: Geodata (Chapter 16)
- Vídeo: Bonus: Office Hours - Amsterdam
- Vídeo: Bonus Interview: Richard Stallman - Free Software Foundation
- Vídeo: Bonus Interview: Brian Behlendorf - Apache Foundation
- Reading: Please Rate this Course on Class-Central
- Reading: Post-Course Survey
Nota atribuída: Databases and Visualization (peer-graded)
Perguntas frequentes
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Coursework
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Desenvolvedores
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.
Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
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4 of 5 in the series of Python for Everybody. You do not learn as much Pythin in this course, but apply it to scanning the web and gathering data. I am more for the scientific uses of Python and programming from scratch than what was taught in the course. Now I must write than many students enjoyed the course and learned something new. I took the first 3 in the series (btw it is recommend that you take the first 3 course before taking this particular one. Several of the HW forces you to use that prior knowledge. So don't rush through), and was able to walk away from those courses feeling a lot more comfortable with Python. This course not so much. But hey, in this course you see how Python can be applied and if you're into Data science it is a good introduction. I am stopping here and moving on to other coursera course. Not caring to do the capstone in this series. Regards.