About this Course
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Approx. 12 hours to complete

Suggested: 5 weeks of study, 2-3 hours/week...

English

Subtitles: English

What you will learn

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    Explain the basics of Object Oriented Python

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    Understand how data is stored across multiple tables in a database

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    Use the Create, Read, Update, and Delete operations to manage databases

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    Utilize the Google Maps API to visualize data

Skills you will gain

Python ProgrammingDatabase (DBMS)SqliteSQL

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 12 hours to complete

Suggested: 5 weeks of study, 2-3 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Object Oriented Python

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.

...
8 videos (Total 64 min), 4 readings, 2 quizzes
8 videos
Unicode Characters and Strings17m
14.1 - Object Oriented Definitions and Terminology8m
14.2 - Our First Class and Object7m
14.3 - Object Life Cycle8m
14.4 - Object Inheritance6m
Bonus: Interview - Software Engineering - Bertrand Meyer11m
Bonus: Office Hours - London1m
4 readings
Help us learn more about you!10m
Python Textbook10m
Coming from Python 2 - Encoding Data in Python 310m
Notice for Auditing Learners: Assignment Submission10m
2 practice exercises
Using Encoded Data in Python 310m
Object Oriented Programming22m
Week
2
4 hours to complete

Basic Structured Query Language

We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database.

...
7 videos (Total 77 min), 3 quizzes
7 videos
15.2 - Using Databases12m
15.3 - Single Table CRUD16m
Worked Example: Counting Email in a Database13m
Bonus: Office Hours Zagreb, Croatia3m
Interview: Elizabeth Fong - The Early Years of SQL7m
Worked Example: Twspider.py (Chapter 15)9m
1 practice exercise
Single-Table SQL22m
Week
3
3 hours to complete

Data Models and Relational SQL

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.

...
8 videos (Total 81 min), 2 quizzes
8 videos
15.5 - Representing a Data Model in Tables11m
15.6 - Inserting Relational Data9m
15.7 - Reconstructing Data with JOIN12m
Worked Example: Tracks.py (Chapter 15)13m
Bonus: Office Hours Perth, Australia1m
Bonus Interview: Niklaus Wirth15m
Bonus: Office Hours Barcelona2m
1 practice exercise
Multi-Table Relational SQL20m
Week
4
2 hours to complete

Many-to-Many Relationships in SQL

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.

...
5 videos (Total 62 min), 2 quizzes
5 videos
Worked Example: roster.py (Chapter 15)11m
Bonus: Office Hours Mexico, City54s
Bonus Interview: Andrew Tannenbaum - Minix10m
Worked Example: Twfriends.py (Chapter 15)21m
1 practice exercise
Many-to-Many Relationships and Python18m
4.8
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Top reviews from Using Databases with Python

Highlights
High quality course material
(143)
Top rated instructor
(176)
By MMMar 13th 2018

The course is great... You can definitely learn many things... Was kind of hard for me and i went many times back and forth through most of the lectures... However i think i learn many new things....

By GBJan 14th 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!

Instructor

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Charles Severance

Professor
School of Information

About University of Michigan

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future....

About the Python for Everybody Specialization

This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization....
Python for Everybody

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.