Using Databases with Python

Instructor: Charles Russell Severance

Beginner Level • 1 week at 10 hours a week • Flexible Schedule

What You'll 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'll Gain

Database Management
Data Modeling
Database Design
Application Programming Interface (API)
Web Scraping
Relational Databases
Database Systems
SQL
Object Oriented Programming (OOP)
Python Programming
Data Visualization Software
Data Processing

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

To start this class out we cover the basics of Object Oriented Python. We won't be writing our own objects, but since many of the things we use like BeautifulSoup, strings, dictionaries, database connections all use Object Oriented (OO) patterns we should at least understand some of its patterns and terminology.

We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database.

In this section we learn about how data is stored across multiple tables in a database and how rows are linked (i.e., we establish relationships) in the database.

In this section we explore how to model situations like students enrolling in courses where each course has many students and each student is enrolled in many courses.

In this section, we put it all together, retrieve and process some data and then use the OpenStreetMaps API to visualize our data.