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 Informatics”. 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 2.
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 l...
9 videos, 4 readings
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.
6 videos
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
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.
4 videos
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.
7 videos, 1 reading
Graded: Databases and Visualization (peer-graded)
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Coursework
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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.
Pricing
| Audit | Purchase Course | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Not available | Available |
| Receive a final grade | Not available | Available |
| Earn a shareable Course Certificate | Not available | Available |
Ratings and Reviews
Well designed curriculum, very helpful information.
Another hard step to get a new skills
I thought this was a really good class that brought all the concepts learned in the prior four classes together to show how a project might look in the real world that included reading, processing, and analyzing data including writing large amounts of data to a database.
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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.