Using Databases with Python
Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
Using Databases with Python
This course is part of Python for Everybody Specialization
546,705 already enrolled
Included with
Ask Coursera
21,598 reviews
21,598 reviews
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
Details to know
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 5 modules in this course
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.
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 least understand some of its patterns and terminology.
What's included
12 videos4 readings2 assignments
12 videos•Total 97 minutes
- Welcome to Using Databases with Python•3 minutes
- Unicode Characters and Strings•17 minutes
- Windows 10: Installing Python and Writing A Program•8 minutes
- Windows: Taking Screen Shots•2 minutes
- Macintosh: Using Python and Writing A Program•4 minutes
- Macintosh: Taking Screen Shots•4 minutes
- Object Oriented Definitions and Terminology•15 minutes
- Our First Class and Object•10 minutes
- Object Life Cycle•10 minutes
- Object Inheritance•9 minutes
- Bonus: Interview - Software Engineering - Bertrand Meyer•12 minutes
- Bonus: Office Hours - London•1 minute
4 readings•Total 40 minutes
- Help us learn more about you!•10 minutes
- Python Textbook•10 minutes
- Course Syllabus•10 minutes
- Notice for Auditing Learners: Assignment Submission•10 minutes
2 assignments•Total 60 minutes
- Using Encoded Data in Python 3•30 minutes
- Object Oriented Programming•30 minutes
We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database.
What's included
6 videos1 assignment2 app items
6 videos•Total 68 minutes
- Relational Databases•14 minutes
- Using Databases•12 minutes
- Single Table CRUD•17 minutes
- Worked Example: Counting Email in a Database•14 minutes
- Bonus: Office Hours Zagreb, Croatia•3 minutes
- Interview: Elizabeth Fong - The Early Years of SQL•8 minutes
1 assignment•Total 30 minutes
- Single-Table SQL•30 minutes
2 app items•Total 120 minutes
- Our First Database•60 minutes
- Counting Email in a Database•60 minutes
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.
What's included
8 videos1 assignment1 app item
8 videos•Total 74 minutes
- Designing a Data Model•14 minutes
- Representing a Data Model in Tables•12 minutes
- Inserting Relational Data•9 minutes
- Reconstructing Data with JOIN•12 minutes
- Worked Example: Tracks.py•8 minutes
- Bonus: Office Hours Perth, Australia•2 minutes
- Bonus Interview: Niklaus Wirth•15 minutes
- Bonus: Office Hours Barcelona•2 minutes
1 assignment•Total 30 minutes
- Multi-Table Relational SQL•30 minutes
1 app item•Total 60 minutes
- Multi-Table Database - Tracks•60 minutes
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.
What's included
4 videos1 assignment1 app item
4 videos•Total 40 minutes
- Many-to-Many Relationships•17 minutes
- Worked Example: roster.py•11 minutes
- Bonus: Office Hours Mexico, City•1 minute
- Bonus Interview: Andrew Tannenbaum - Minix•11 minutes
1 assignment•Total 30 minutes
- Many-to-Many Relationships and Python•30 minutes
1 app item•Total 60 minutes
- Many Students in Many Courses•60 minutes
In this section, we put it all together, retrieve and process some data and then use the OpenStreetMaps API to visualize our data.
What's included
5 videos3 readings1 app item
5 videos•Total 38 minutes
- Geocoding•9 minutes
- Worked Example: Geodata•19 minutes
- Bonus: Office Hours - Amsterdam•3 minutes
- Bonus Interview: Richard Stallman - Free Software Foundation•3 minutes
- Bonus Interview: Brian Behlendorf - Apache Foundation•5 minutes
3 readings•Total 30 minutes
- Peer Graded Assignment - Instructor Input•10 minutes
- Please Rate this Course on Class-Central•10 minutes
- Post-Course Survey•10 minutes
1 app item•Total 60 minutes
- Databases and Visualization (peer-graded)•60 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Explore more from Software Development
- Status: Free TrialD
Duke University
Course
- Status: Free TrialM
Meta
Course
- Status: Free Trial
- Status: Free Trial
Course
Why people choose Coursera for their career
Learner reviews
- 5 stars
82.09%
- 4 stars
14.15%
- 3 stars
2.28%
- 2 stars
0.47%
- 1 star
0.99%
Showing 3 of 21598
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.
Reviewed on Mar 1, 2020
one of the best course you can take. you'll learn a lot and not just about python but about database too, XML, Json, and is really a fun fun course to take, and the instructor is one of the best.
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.
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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.
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.
More questions
Financial aid available,