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 для всех'
Об этом курсе
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Попробуйте Coursera для бизнесаЧему вы научитесь
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
Приобретаемые навыки
- Python Programming
- Database (DBMS)
- Sqlite
- SQL
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Сделайте шаг навстречу диплому магистра.
Программа курса: что вы изучите
Object Oriented Python
Basic Structured Query Language
Data Models and Relational SQL
Many-to-Many Relationships in SQL
Рецензии
- 5 stars82,30 %
- 4 stars14,28 %
- 3 stars2,30 %
- 2 stars0,45 %
- 1 star0,64 %
Основные моменты
Лучшие отзывы о курсе USING DATABASES WITH PYTHON
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.
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.
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.
his 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.
Специализация Python для всех: общие сведения

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