Using Databases with Python
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.
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
Syllabus
Syllabus - What you will learn from this course
Week 1
Object Oriented Python
Week 2
Basic Structured Query Language
Week 3
Data Models and Relational SQL
Week 4
Many-to-Many Relationships in SQL
Week 5
Databases and Visualization
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Reviews
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.
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 very helpful. It would be even more charming if the difficulty level increases slightly after several training videos to throw challenge at the programmer.Rest its worth 5 stars...
I love that this course builds on top of previous ones so you can see it all coming together.
I recommend this course for everyone who's willing to expand the scope of their skills in programming
