This course is part of the Python for Everybody Specialization

4.8
stars
20,836 ratings

Charles Russell Severance

450,465 already enrolled

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Associated with the Master of Applied Data Science degree
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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.

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 4 of 5 in the

Python for Everybody Specialization

Approx. 14 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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 4 of 5 in the

Python for Everybody Specialization

Approx. 14 hours to complete

English

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

Try Coursera for Business

Instructor

Instructor rating

4.85/5 (1,130 Ratings)

Charles Russell Severance

Clinical Professor

School of Information

3,774,666 Learners

56 Courses

Offered by

University of Michigan

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This course is related to the 100% online Master of Applied Data Science from University of Michigan. It will provide you with a preview of the topics, materials and instructors so you can decide if the full online degree program is right for you.

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Syllabus - What you will learn from this course

Content Rating97%(42,153 ratings)

Week1

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 Python2mUnicode Characters and Strings17mWindows 10: Installing Python and Writing A Program8mWindows: Taking Screen Shots2mMacintosh: Using Python and Writing A Program4mMacintosh: Taking Screen Shots4m14.1 - Object Oriented Definitions and Terminology8m14.2 - Our First Class and Object7m14.3 - Object Life Cycle8m14.4 - Object Inheritance6mBonus: Interview - Software Engineering - Bertrand Meyer11mBonus: Office Hours - London1m

5 readings

Help us learn more about you!10mPython Textbook10mCourse Syllabus10mComing from Python 2 - Encoding Data in Python 310mNotice for Auditing Learners: Assignment Submission10m

2 practice exercises

Using Encoded Data in Python 330mObject Oriented Programming30m

Week2

Week 2

4 hours to complete

Basic Structured Query Language

4 hours to complete

7 videos (Total 77 min)

Week3

Week 3

3 hours to complete

Data Models and Relational SQL

3 hours to complete

8 videos (Total 81 min)

Week4

Week 4

3 hours to complete

Many-to-Many Relationships in SQL

3 hours to complete

5 videos (Total 62 min)

Reviews

4.8

3207 reviews

5 stars
82.30%
4 stars
14.28%
3 stars
2.30%
2 stars
0.45%
1 star
0.65%

HIGHLIGHTS

"High quality course material" in 143 reviews

"Top rated instructor" in 176 reviews

TOP REVIEWS FROM USING DATABASES WITH PYTHON

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 SSNov 10, 2018

Amazing experience yet again... Dr Chuck makes it so seamless to connect python, with web data retrieval, json/xml parsing and then linking it all into building a database from scratch. Thank you!

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 CSJul 5, 2018

Well taught course, with material made easy to understand and discussed in an engaging way. The assignments really help to solidify your understanding and are like puzzles that I enjoy working at.

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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

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