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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Maaari Mo Ring Magustuhan
HTML and CSS in depth
Introduction to Front-End Development
Mobile Development and JavaScript
Software Developer Career Guide and Interview Preparation
C++ For C Programmers, Part A
Linux Kernel Programming and Introduction to Yocto Project
Principles of UX/UI Design
Programming Fundamentals in Swift
C++ For C Programmers, Part B
Developing AI Applications with Python and Flask
React Native
Using Python to Access Web Data
Advanced React
Working with Data in Android
Version Control
Secure & Scalable Cloud Infrastructure with Microsoft Azure
C for Everyone, Part 2: Structured Programming
Building Generative AI-Powered Applications with Python
Introduction to Software Engineering
Linux System Programming and Introduction to Buildroot
Introduction to HTML, CSS, & JavaScript
Programming for Everybody (Getting Started with Python)
C for Everyone, Part 1: Programming Fundamentals
Generative AI: Elevate your Software Development Career
Mga Komento
10 Mga Komento
Bonus Interview: Brian Behlendorf - Apache Foundation
Bonus Interview: Brian Behlendorf - Apache Foundation
Bonus Interview: Brian Behlendorf - Apache Foundation
Bonus Interview: Richard Stallman - Free Software Foundation
Bonus Interview: Richard Stallman - Free Software Foundation
Bonus Interview: Richard Stallman - Free Software Foundation
Bonus: Office Hours - Amsterdam
Bonus: Office Hours - Amsterdam
Bonus: Office Hours - Amsterdam
Worked Example: Geodata
