This course is part of the Python for Everybody Specialization

4.8
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20,550 ratings

Charles Russell Severance

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Part of the Master of Applied Data Science degree

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Python for Everybody SpecializationUniversity of Michigan

About this Course

246,979 recent views

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.

Flexible deadlines

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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

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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

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.86/5 (1,084 Ratings)

Charles Russell Severance

Clinical Professor

School of Information

3,567,725 Learners

48 Courses

Offered by

University of Michigan

Start working towards your Master's degree

This course is part of the 100% online Master of Applied Data Science from University of Michigan. If you are admitted to the full program, your courses count towards your degree learning.

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Syllabus - What you will learn from this course

Content Rating97%(40,406 ratings)

Week

Week 1

3 hours to complete

Object Oriented Python

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

Course Syllabus10m

Coming from Python 2 - Encoding Data in Python 310m

Notice for Auditing Learners: Assignment Submission10m

2 practice exercises

Using Encoded Data in Python 330m

Object Oriented Programming30m

Week

Week 2

4 hours to complete

Basic Structured Query Language

4 hours to complete

7 videos (Total 77 min)

Week

Week 3

3 hours to complete

Data Models and Relational SQL

3 hours to complete

8 videos (Total 81 min)

Week

Week 4

3 hours to complete

Many-to-Many Relationships in SQL

3 hours to complete

5 videos (Total 62 min)

Reviews

4.8

3159 reviews

5 stars
82.31%
4 stars
14.30%
3 stars
2.30%
2 stars
0.45%
1 star
0.61%

HIGHLIGHTS

"High quality course material" in 143 reviews

"Top rated instructor" in 176 reviews

TOP REVIEWS FROM USING DATABASES WITH PYTHON

by MLJul 5, 2018

this course is very helpful. It would be even more charming if the difficulty level increases slightly after several training videos to throw challenge at the programmer.Rest its worth 5 stars...

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.

by CWJan 19, 2020

Tied together many data transfer concepts that I had heard of but did not understand. Very interesting set of topics - makes a novice understand what other languages might be interesting to learn.

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.

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. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Using Databases with Python

About this Course

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Skills you will gain