
关键信息
关于内容
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.
课程大纲
- Week 1 - 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 l... - Week 2 - Basic Structured Query Language
We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database. - Week 3 - 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. - Week 4 - 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. - Week 5 - Databases and Visualization
In this section, we put it all together, retrieve and process some data and then use the Google Maps API to visualize our data.
教师
Charles Severance
Professor
School of Information
内容设计师

密歇根大学(UM,UMich 或简称密歇根)是一所公立研究型大学,位于美国密歇根州安阿伯市。该大学成立于 1817 年,是密歇根州历史最悠久、规模最大的大学。
密歇根大学的使命是为密歇根州和全世界人民服务,在创造、交流、保存和应用学术知识、艺术和价值观方面发挥领导作用,培养挑战现在和丰富未来的领导者和公民。
平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。