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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Compétences que vous acquerrez
Université du Michigan
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- 5 stars82,30 %
- 4 stars14,34 %
- 3 stars2,31 %
- 2 stars0,43 %
- 1 star0,59 %
Meilleurs avis pour USING DATABASES WITH PYTHON
Solid foundation course using python with databases. The instructor is good, keeps things simple at first while still teaching what is needed for a foundational course. Thanks for all the lessons!
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!
his 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.
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.
À propos du Spécialisation Le Python pour tous
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.
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