Python for Everybody Specialization

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.

100% online course

Start instantly and learn at your own schedule.

Approx. 8 hours to complete

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

English

Subtitles: English

What you will learn

Explain the basics of Object Oriented Python

Understand how data is stored across multiple tables in a database

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

Utilize the Google Maps API to visualize data

Skills you will gain

Python ProgrammingDatabaseSqlSqlite

100% online course

Start instantly and learn at your own schedule.

Approx. 8 hours to complete

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

English

Subtitles: English

Syllabus - What you will learn from this course

1

Section

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

Welcome to Using Databases with Python2m

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

2

Section

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

15.1 Relational Databases13m

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 exercises

Single-Table SQL22m

3

Section

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

15.4 - Designing a Data Model13m

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 exercises

Multi-Table Relational SQL20m

4

Section

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

15.8 - Many-to-Many Relationships17m

Worked Example: roster.py (Chapter 15)11m

Bonus: Office Hours Mexico, City0m

Bonus Interview: Andrew Tannenbaum - Minix10m

Worked Example: Twfriends.py (Chapter 15)21m

1 practice exercises

Many-to-Many Relationships and Python18m

5

Section

2 hours to complete

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 (Total 40 min), 2 readings, 1 quiz

6 videos

16.1 - Geocoding9m

16.2 - Geocoding Visualization7m

Worked Example: Geodata (Chapter 16)13m

Bonus: Office Hours - Amsterdam3m

Bonus Interview: Richard Stallman - Free Software Foundation2m

Bonus Interview: Brian Behlendorf - Apache Foundation4m

2 readings

Please Rate this Course on Class-Central10m

Post-Course Survey10m

Instructor

Charles Severance

Associate Professor

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....

Frequently Asked Questions

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Python for Everybody Specialization