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.
Using Databases with Python
Using Databases with Python
This course is part of Python for Everybody Specialization
Instructor: Charles Russell Severance
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21,569 reviews
Beginner level
No prior experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
95%
Most learners liked this course
What you'll learn
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
Skills you'll gain
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Assessments
5 assignments
Taught in English
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This course is part of the Python for Everybody Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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Showing 3 of 21569
RF
Reviewed on Jul 24, 2018
The course is simple and easy.Dr.Chuck takes you through databases,how to write SQL queries,execute them and so on.My advice is to do the other three courses first and then move on to this one.
CS
Reviewed on Jul 5, 2018
Well taught course, with material made easy to understand and discussed in an engaging way. The assignments really help to solidify your understanding and are like puzzles that I enjoy working at.
SZ
Reviewed on Sep 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.
