This course is part of the Python for Everybody Specialization

4.8
stars
20,092 ratings

Charles Russell Severance

396,160 already enrolled

Offered By

Python for Everybody SpecializationUniversity of Michigan

About this Course

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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.

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Shareable Certificate

Earn a Certificate upon completion

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Course 4 of 5 in the

Python for Everybody Specialization

Approx. 15 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish

What you will 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 will gain

Python Programming
Database (DBMS)
Sqlite
SQL

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 4 of 5 in the

Python for Everybody Specialization

Approx. 15 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish

Instructor

Instructor rating

4.86/5 (958 Ratings)

Charles Russell Severance

Clinical Professor

School of Information

3,145,585 Learners

46 Courses

Offered by

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.

Syllabus - What you will learn from this course

Content Rating97%(38,828 ratings)

Week

Week 1

3 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.

3 hours to complete

12 videos (Total 83 min), 5 readings, 2 quizzes

12 videos

Welcome to Using Databases with Python2m

Unicode Characters and Strings17m

Windows 10: Installing Python and Writing A Program8m

Windows: Taking Screen Shots2m

Macintosh: Using Python and Writing A Program4m

Macintosh: Taking Screen Shots4m

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

5 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

Course Syllabus10m

2 practice exercises

Using Encoded Data in Python 330m

Object Oriented Programming30m

Week

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.

4 hours to complete

7 videos (Total 77 min)

Week

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.

3 hours to complete

8 videos (Total 81 min)

Week

Week 4

3 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.

3 hours to complete

5 videos (Total 62 min)

Reviews

4.8

3067 reviews

5 stars
82.30%
4 stars
14.37%
3 stars
2.31%
2 stars
0.44%
1 star
0.56%

HIGHLIGHTS

"High quality course material" in 143 reviews

"Top rated instructor" in 176 reviews

TOP REVIEWS FROM USING DATABASES WITH PYTHON

by BTJan 31, 2020

Course is worthwhile taking and Dr. Severance is engaging in the videos. People new to Python should read book chapters prior to viewing videos so as to familiarize themselves with the subject matter.

by SZSep 10, 2016

I hope this can be a little bit more challenge. All the assignments are easy to be finished, some of them can be done within minutes. Comparing with JHU's R programming, that can be too hard, though.

by MMMar 12, 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 JGJun 16, 2016

This course was great! I enjoyed parsing different types of data: from documents and the web. This course is definitely (rudimentary) a must take course for anyone who wants to go into data science.

View all reviews

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. 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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

More questions? Visit the Learner Help Center.

Using Databases with Python