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
oferecido por
Informações sobre o curso
440,372 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
13%
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. 13 horas para completar
Inglês
Legendas: Inglês, Coreano
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
13%
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. 13 horas para completar
Inglês
Legendas: Inglês, Coreano
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
2 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.
2 horas para concluir
8 vídeos (Total 64 mín.), 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
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 SQL22min
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 SQL20min
2 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.
2 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 Python18min
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 BTJan 31, 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 MMMar 12, 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 SZSep 10, 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 GBJan 13, 2018
It's an excellent course. Thanks for the oportunity to learn. Thanks to Coursera, to the University of Michigan and of course to Dr. Chuck, a very good an enthusiastic teacher! All the best for you!
por JLJun 22, 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.
por JGJun 16, 2016
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.
por RSMar 5, 2019
This course is well designed to get fast launching in programming & talking to data with python. As the name suggests " Python For Everybody ", courses in this specialization really signifies that.
por CSJul 5, 2018
Well taught course, with material made easy to understand and discussed in an engaging way. The assignments really help to solidify your understanding and are like puzzles that I enjoy working at.
por CWJan 19, 2020
Tied together many data transfer concepts that I had heard of but did not understand. Very interesting set of topics - makes a novice understand what other languages might be interesting to learn.
por SSNov 10, 2018
Amazing experience yet again... Dr Chuck makes it so seamless to connect python, with web data retrieval, json/xml parsing and then linking it all into building a database from scratch. Thank you!
por MLJul 5, 2018
this course is very helpful. It would be even more charming if the difficulty level increases slightly after several training videos to throw challenge at the programmer.Rest its worth 5 stars...
por JMar 1, 2020
one of the best course you can take. you'll learn a lot and not just about python but about database too, XML, Json, and is really a fun fun course to take, and the instructor is one of the best.
por BRJan 2, 2016
I had a little bit of knowledge about Python coding before taking these courses, but it was very insightful and helpful in my quest to learn more and helped instill the things I did already know.
por AVJan 16, 2016
Excellent refresher for me; and a good basic level course for those new to programming and want to understand the basic concepts of writing code, connecting and parsing data in a much easier way.
por RFJul 24, 2018
The course is simple and easy.Dr.Chuck takes you through databases,how to write SQL queries,execute them and so on.My advice is to do the other three courses first and then move on to this one.
por CGApr 14, 2016
well designed class especially the homework. by going through all the homework, i have dramatically improved my python data extraction and database management skills. Great introduction course!
por AHJan 4, 2018
Dr. Chuck is an awesome teacher! I like his teaching style.\n\nHowever, please remove peer-graded assignment. Most of the times, it delays students from completing their courses.\n\nThank you.
por BRDec 27, 2015
Hands down , This course will be taught by Dr chuck need I say more, One of the best professor on this coursera platform, who explains concepts in such a way that any one can understand them .
por GJAug 30, 2016
Definitely learned new skills on this course. Dr. Chuck is knowledgeable, engaging and a very skilled teacher, which made for an enjoyable lecture series. Looming forward to the Capstone now!
por ZNMay 10, 2017
Great course! It's that simple. ☺ Dr.Chuck is a great teacher! If you want to understand and use SQLite database(and basically databases) with Python, take this course. It's fun and fast too.
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?
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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