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
oferecido por
Programa de cursos integrados Python para todosPython para todosUniversidade de MichiganInformações sobre o curso
596,533 visualizações recentes
Resultados de carreira do aprendiz
34%
comecei uma nova carreira após concluir estes cursos
34%
consegui um benefício significativo de carreira com este curso
14%
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. 15 horas para completar
Inglês
Legendas: Francês, Português (Brasil), Coreano, Russo, Inglês, Espanhol
O que você vai aprender
Use the Create, Read, Update, and Delete operations to manage databases
Explain the basics of Object Oriented Python
Understand how data is stored across multiple tables in a database
Utilize the Google Maps API to visualize data
Habilidades que você terá
Python ProgrammingDatabase (DBMS)SqliteSQL
Resultados de carreira do aprendiz
34%
comecei uma nova carreira após concluir estes cursos
34%
consegui um benefício significativo de carreira com este curso
14%
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. 15 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
3 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.
3 horas para concluir
12 vídeos (Total 83 mín.), 4 leituras, 2 testes
12 videos
Unicode Characters and Strings17min
Windows 10: Installing Python and Writing A Program8min
Windows: Taking Screen Shots2min
Macintosh: Using Python and Writing A Program4min
Macintosh: Taking Screen Shots4min
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 330min
Object Oriented Programming30min
4 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.
4 horas para concluir
7 vídeos (Total 77 mín.)
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 SQL30min
3 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.
3 horas para concluir
8 vídeos (Total 81 mín.)
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 SQL30min
3 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.
3 horas para concluir
5 vídeos (Total 62 mín.)
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 Python30min
Avaliações
Destaques
"High quality course material" em análise 143
"Top rated instructor" em análise 176
Principais avaliações do UTILIZAÇÃO DE BANCOS DE DADOS COM PYTHON
por BT31 de Jan de 2020
Course is worthwhile taking and Dr. Severance is engaging in the videos. People new to Python should read book chapters prior to viewing videos so as to familiarize themselves with the subject matter.
por MM12 de Mar de 2018
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....
por SZ10 de Set de 2016
I hope this can be a little bit more challenge. All the assignments are easy to be finished, some of them can be done within minutes. Comparing with JHU's R programming, that can be too hard, though.
por JL22 de Jun de 2017
Wonderful course! I learnt many useful SQL statements and know how to combine database operations into python program. Dr. Chuck's lectures are always comprehensible and clear. Thank you, professor.
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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
O que recebo ao me inscrever nesta Especialização?
Is financial aid available?
Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.
