Using Databases with Python

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.

Created by: Charles Russell Severance

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Overall Score : 100 / 100

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Course Description

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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Instructor Details

Charles Russell Severance

Charles Severance (a.k.a. Dr. Chuck) is a Clinical Professor at the University of Michigan School of Information, where he teaches various technology-oriented courses including programming, database design, and Web development. Chuck has written a number of books including Using Google App Engine, and Python for Everybody. His research field is in the building of learning management systems such as Sakai, Moodle, Blackboard, ANGEL, and others. He was the chief architect for the Sakai Project, a learning management system used at about 300 schools worldwide and wrote the book Sakai: Free as in Freedom, that describes his experiences as one of the leaders of the project. In the mid-1990s he was the host of Internet:TCI, a national television talk show about the Internet that ran for several years on the TCI cable system. He was long-time a columnist for the IEEE Computer Magazine writing a monthly column called "Computing Conversations" that features video interviews with famous technology leaders and innovators.

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Reviews

5.0

119 total reviews

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By Connor H on 11-Jun-19

It's a great toy introduction to database technologies - I wish the assignments involved more than just running starter code and making a few lines of modifications.

By Alie E A A O on 22-Mar-19

i don't enjoy with this course at all. this course is not good . i don't like copying code and paste it into other place. also to explain code was written before is not good for beginner the code must be written live to understand whole code . Also the assignment wasn't clear at all. you had to search to know what they want exactly. I hope to improve it for next people who will take it

By Jesse G on 17-Jun-16

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 RAJPUT R G S on 6-Mar-19

This course is well designed to get fast launching in programming & talking to data with python. As the name suggests " Python For Everybody ", courses in this specialization really signifies that.

By sudheer n D on 7-Oct-19

Charles Severance is one of my favourite professors. He teaches stuff in the simplest way possible. He delivers the content is in a very friendly manner. So friendly that if I meet him by chance, my first sentence might be "Hey Chuck, Wasup?"Coming to the course content, I didn't understand why they included object oriented programming in this course. Provides good exposure to SQL. There is a week of geocoding, though he doesn't walk you through everyline of geocoding exercise, throwing it out there gives exposure and opportunity to learn more on own.

By Miroslav M on 13-Mar-18

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 Peter B on 6-Sep-18

Instructor is engaging, conceptual overviews were excellent.Here's what I would do to improve:(1) I don't think it would cost you much or take you much time to add honors content. That would be helpful for anyone just brushing up on the material that wants to go a little further.(2) The last assignment is absurdly easy. I've never had a programming assignment where the criteria is simply to run code someone else has already written. That's just lazy and it hurts the brand name of Coursera and the University of Michigan. I'm sure some of your students ('ahem) would be happy to produce some honors concept and rework the final assignment.

By on 11-Feb-19

sql

By Dwaipayan D on 20-Dec-18

Excellent content coverage as well as presentation by the instructor.

By Dao X H on 19-Dec-18

Good

By Mohammad K on 18-Dec-18

very useful and concise course.

By TAMI L on 23-Dec-18

Excellent course. Great lectures and helpful assignments.