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.
Este curso faz parte do Programa de cursos integrados Python para todosPython para todos
Utilização de Bancos de Dados com Python
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Informações sobre o curso
199,642
199,642O que você vai aprender
Explain the basics of Object Oriented Python
Understand how data is stored across multiple tables in a database
Use the Create, Read, Update, and Delete operations to manage databases
Utilize the Google Maps API to visualize data
Habilidades que você terá
Python ProgrammingDatabase (DBMS)SqliteSQL
Programa - O que você aprenderá com este curso
Semana
12 horas para concluir
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 vídeos (total de (Total 64 mín.) min), 4 leituras, 2 testes
8 videos
Unicode Characters and Strings17min
14.1 - Object Oriented Definitions and Terminology8min
14.2 - Our First Class and Object7min
14.3 - Object Life Cycle8min
14.4 - Object Inheritance6min
Bonus: Interview - Software Engineering - Bertrand Meyer11min
Bonus: Office Hours - London1min
4 leituras
Help us learn more about you!10min
Python Textbook10min
Coming from Python 2 - Encoding Data in Python 310min
Notice for Auditing Learners: Assignment Submission10min
2 exercícios práticos
Using Encoded Data in Python 310min
Object Oriented Programming22min
Semana
24 horas para concluir
Basic Structured Query Language
We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database.
7 vídeos (total de (Total 77 mín.) min), 3 testes
7 videos
15.2 - Using Databases12min
15.3 - Single Table CRUD16min
Worked Example: Counting Email in a Database13min
Bonus: Office Hours Zagreb, Croatia3min
Interview: Elizabeth Fong - The Early Years of SQL7min
Worked Example: Twspider.py (Chapter 15)9min
1 exercício prático
Single-Table SQL22min
Semana
33 horas para concluir
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 vídeos (total de (Total 81 mín.) min), 2 testes
8 videos
15.5 - Representing a Data Model in Tables11min
15.6 - Inserting Relational Data9min
15.7 - Reconstructing Data with JOIN12min
Worked Example: Tracks.py (Chapter 15)13min
Bonus: Office Hours Perth, Australia1min
Bonus Interview: Niklaus Wirth15min
Bonus: Office Hours Barcelona2min
1 exercício prático
Multi-Table Relational SQL20min
Semana
42 horas para concluir
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 vídeos (total de (Total 62 mín.) min), 2 testes
5 videos
Worked Example: roster.py (Chapter 15)11min
Bonus: Office Hours Mexico, City54s
Bonus Interview: Andrew Tannenbaum - Minix10min
Worked Example: Twfriends.py (Chapter 15)21min
1 exercício prático
Many-to-Many Relationships and Python18min
32%
comecei uma nova carreira após concluir estes cursos
33%
consegui um benefício significativo de carreira com este curso
13%
recebi um aumento ou promoção
Melhores avaliações
Destaques
High quality course material
(143)Top rated instructor
(176)The course is great... You can definitely learn many things... Was kind of hard for me and i went many times back and forth through most of the lectures... However i think i learn many new things....
This course was great! I enjoyed parsing different types of data: from documents and the web. This course is definitely (rudimentary) a must take course for anyone who wants to go into data science.
Instrutores
Charles Severance
ProfessorSchool of Information
Sobre 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.
Sobre o 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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
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.
O que recebo ao me inscrever nesta Especialização?
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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