About 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.
Created by: University of Michigan
Taught by: Charles Severance, Associate Professor
School of Information
| Basic Info | Course 4 of 5 in the Python for Everybody Specialization |
| Commitment | 5 weeks of study, 2-3 hours/week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
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, 4 readings
- Reading: Help us learn more about you!
- Reading: Python Textbook
- Reading: Coming from Python 2 - Encoding Data in Python 3
- Video: Unicode Characters and Strings
- Reading: Notice for Auditing Learners: Assignment Submission
- Video: 14.1 - Object Oriented Definitions and Terminology
- Video: 14.2 - Our First Class and Object
- Video: 14.3 - Object Life Cycle
- Video: 14.4 - Object Inheritance
- Video: Bonus: Interview - Software Engineering - Bertrand Meyer
- Video: Bonus: Office Hours - London
Graded: Using Encoded Data in Python 3
Graded: Object Oriented Programming
WEEK 2
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
- Video: 15.2 - Using Databases
- Video: 15.3 - Single Table CRUD
- Video: Worked Example: Counting Email in a Database
- Video: Bonus: Office Hours Zagreb, Croatia
- Video: Interview: Elizabeth Fong - The Early Years of SQL
- Video: Worked Example: Twspider.py (Chapter 15)
Graded: Single-Table SQL
Graded: Our First Database
Graded: Counting Email in a Database
WEEK 3
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
- Video: 15.5 - Representing a Data Model in Tables
- Video: 15.6 - Inserting Relational Data
- Video: 15.7 - Reconstructing Data with JOIN
- Video: Worked Example: Tracks.py (Chapter 15)
- Video: Bonus: Office Hours Perth, Australia
- Video: Bonus Interview: Niklaus Wirth
- Video: Bonus: Office Hours Barcelona
Graded: Multi-Table Relational SQL
Graded: Multi-Table Database - Tracks
WEEK 4
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
- Video: Worked Example: roster.py (Chapter 15)
- Video: Bonus: Office Hours Mexico, City
- Video: Bonus Interview: Andrew Tannenbaum - Minix
- Video: Worked Example: Twfriends.py (Chapter 15)
Graded: Many-to-Many Relationships and Python
Graded: Many Students in Many Courses
WEEK 5
Databases and Visualization
In this section, we put it all together, retrieve and process some data and then use the Google Maps API to visualize our data.
6 videos, 2 readings
- Video: 16.2 - Geocoding Visualization
- Video: Worked Example: Geodata (Chapter 16)
- Video: Bonus: Office Hours - Amsterdam
- Video: Bonus Interview: Richard Stallman - Free Software Foundation
- Video: Bonus Interview: Brian Behlendorf - Apache Foundation
- Reading: Please Rate this Course on Class-Central
- Reading: Post-Course Survey
Graded: Databases and Visualization (peer-graded)
FAQs
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University of Michigan
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Pricing
| Purchase Course | |
|---|---|
| Access to course materials | Available |
| Access to graded materials | Available |
| Receive a final grade | Available |
| Earn a shareable Course Certificate | Available |
Ratings and Reviews
Best course ever.
Really good course to get started with Databases and SQLite.
Wonderful Cource.
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VS
Super easy way to make us understand python better. Your bonus videos are also refreshing anf thogh provoking