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 forma parte de Programa Especializado - Python para todos
Using Databases with Python
ofrecido por
Acerca de este Curso
243,788 vistas recientes
Qué aprenderás
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 obtendrás
Python ProgrammingDatabase (DBMS)SqliteSQL
Los estudiantes que toman este Course son
- Traders
- Geologists
- Data Analysts
- Biostatisticians
- Associate Directors
Programa - Qué aprenderás en este curso
Semana
12 horas para completar
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 (Total 64 minutos), 4 lecturas, 2 cuestionarios
8 videos
Unicode Characters and Strings17m
14.1 - Object Oriented Definitions and Terminology8m
14.2 - Our First Class and Object7m
14.3 - Object Life Cycle8m
14.4 - Object Inheritance6m
Bonus: Interview - Software Engineering - Bertrand Meyer11m
Bonus: Office Hours - London1m
4 lecturas
Help us learn more about you!10m
Python Textbook10m
Coming from Python 2 - Encoding Data in Python 310m
Notice for Auditing Learners: Assignment Submission10m
2 ejercicios de práctica
Using Encoded Data in Python 310m
Object Oriented Programming22m
Semana
24 horas para completar
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 (Total 77 minutos), 3 cuestionarios
7 videos
15.2 - Using Databases12m
15.3 - Single Table CRUD16m
Worked Example: Counting Email in a Database13m
Bonus: Office Hours Zagreb, Croatia3m
Interview: Elizabeth Fong - The Early Years of SQL7m
Worked Example: Twspider.py (Chapter 15)9m
1 ejercicio de práctica
Single-Table SQL22m
Semana
33 horas para completar
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 (Total 81 minutos), 2 cuestionarios
8 videos
15.5 - Representing a Data Model in Tables11m
15.6 - Inserting Relational Data9m
15.7 - Reconstructing Data with JOIN12m
Worked Example: Tracks.py (Chapter 15)13m
Bonus: Office Hours Perth, Australia1m
Bonus Interview: Niklaus Wirth15m
Bonus: Office Hours Barcelona2m
1 ejercicio de práctica
Multi-Table Relational SQL20m
Semana
42 horas para completar
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 (Total 62 minutos), 2 cuestionarios
5 videos
Worked Example: roster.py (Chapter 15)11m
Bonus: Office Hours Mexico, City54s
Bonus Interview: Andrew Tannenbaum - Minix10m
Worked Example: Twfriends.py (Chapter 15)21m
1 ejercicio de práctica
Many-to-Many Relationships and Python18m
35%
comenzó una nueva carrera después de completar estos cursos
34%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
13%
consiguió un aumento de sueldo o ascenso
Principales revisiones sobre Using Databases with Python
Aspectos destacados
Top rated instructor
(176)High quality course material
(143)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....
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!
Instructor
Charles Russell Severance
ProfessorSchool of Information
Acerca de Universidad de Míchigan
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.
Acerca de Programa especializado Python 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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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