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.
Worked Example: Geodata (Chapter 16)
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Skills You'll Learn
Python Programming, Database (DBMS), Sqlite, SQL
Reviews
4.8 (21,191 ratings)
- 5 stars82.29%
- 4 stars14.22%
- 3 stars2.29%
- 2 stars0.46%
- 1 star0.71%
JG
Jun 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.
GB
Jan 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!
From the lesson
Databases and Visualization
In this section, we put it all together, retrieve and process some data and then use the OpenStreetMaps API to visualize our data.
Taught By
Charles Russell Severance
Clinical Professor