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.
Этот курс входит в специализацию ''Специализация Python ??? ????'
Using Databases with Python
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Карьерные результаты учащихся
34%
начал новую карьеру, пройдя эти курсы
34%
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13%
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Приобретаемые навыки
Python ProgrammingDatabase (DBMS)SqliteSQL
Карьерные результаты учащихся
34%
начал новую карьеру, пройдя эти курсы
34%
получил значимые преимущества в карьере благодаря этому курсу
13%
стал больше зарабатывать или получил повышение
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Курс 4 из 5 в программе
Гибкие сроки
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Прибл. 13 часа на выполнение
Предполагаемая нагрузка: 5 weeks of study, 2-3 hours/week
Английский
Субтитры: Английский
Программа курса: что вы изучите
2 ч. на завершение
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 ч. на завершение
8 видео ((всего 64 мин.)), 4 материалов для самостоятельного изучения, 2 тестов
8 видео
Unicode Characters and Strings17мин
14.1 - Object Oriented Definitions and Terminology8мин
14.2 - Our First Class and Object7мин
14.3 - Object Life Cycle8мин
14.4 - Object Inheritance6мин
Bonus: Interview - Software Engineering - Bertrand Meyer11мин
Bonus: Office Hours - London1мин
4 материала для самостоятельного изучения
Help us learn more about you!10мин
Python Textbook10мин
Coming from Python 2 - Encoding Data in Python 310мин
Notice for Auditing Learners: Assignment Submission10мин
2 практического упражнения
Using Encoded Data in Python 310мин
Object Oriented Programming22мин
4 ч. на завершение
Basic Structured Query Language
We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database.
4 ч. на завершение
7 видео ((всего 77 мин.))
7 видео
15.2 - Using Databases12мин
15.3 - Single Table CRUD16мин
Worked Example: Counting Email in a Database13мин
Bonus: Office Hours Zagreb, Croatia3мин
Interview: Elizabeth Fong - The Early Years of SQL7мин
Worked Example: Twspider.py (Chapter 15)9мин
1 практическое упражнение
Single-Table SQL22мин
3 ч. на завершение
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 ч. на завершение
8 видео ((всего 81 мин.))
8 видео
15.5 - Representing a Data Model in Tables11мин
15.6 - Inserting Relational Data9мин
15.7 - Reconstructing Data with JOIN12мин
Worked Example: Tracks.py (Chapter 15)13мин
Bonus: Office Hours Perth, Australia1мин
Bonus Interview: Niklaus Wirth15мин
Bonus: Office Hours Barcelona2мин
1 практическое упражнение
Multi-Table Relational SQL20мин
2 ч. на завершение
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 ч. на завершение
5 видео ((всего 62 мин.))
5 видео
Worked Example: roster.py (Chapter 15)11мин
Bonus: Office Hours Mexico, City54
Bonus Interview: Andrew Tannenbaum - Minix10мин
Worked Example: Twfriends.py (Chapter 15)21мин
1 практическое упражнение
Many-to-Many Relationships and Python18мин
Рецензии
Основные моменты
"High quality course material" в отзывах (143)
"Top rated instructor" в отзывах (176)
Лучшие отзывы о курсе USING DATABASES WITH PYTHON
от партнера 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.
от партнера 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....
от партнера 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.
от партнера 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!
О ??????????? ???????????
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.
Специализация Python ??? ????: общие сведения
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.
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