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.
This course is part of the Python for Everybody Specialization
About this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will 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 will gain
- Python Programming
- Database (DBMS)
- Sqlite
- SQL
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Syllabus - What you will learn from this course
Object Oriented Python
Basic Structured Query Language
Data Models and Relational SQL
Many-to-Many Relationships in SQL
Reviews
- 5 stars82.29%
- 4 stars14.28%
- 3 stars2.30%
- 2 stars0.45%
- 1 star0.64%
HIGHLIGHTS
TOP REVIEWS FROM USING DATABASES WITH PYTHON
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.
I learned how to create a database model and trying to create models for my own day to day data for practicing. It's a really great tool for sorting things out. Thanks Coursera, Thanks Dr. Chuck :)
Tied together many data transfer concepts that I had heard of but did not understand. Very interesting set of topics - makes a novice understand what other languages might be interesting to learn.
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.
About the Python for Everybody Specialization

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