Course overview
In this course, you’ll learn about the SQL database management system PostgreSQL and what differentiates it from SQLite. You’ll learn about proper data types for your data and why they’re important. You’ll also install PostgreSQL on your own machine and learn how to work with psycopg2, a Python database API for PostgreSQL that allows you to interact with PostgreSQL databases using Python.
Best of all, you’ll learn by doing – you’ll practice and get feedback directly in the browser. At the end of the course, you’ll complete a project that asks you to work on a real-life example – storing storm data in a PostgreSQL database.
Key skills
- Identifying how PostgreSQL improves data sharing
- Creating tables from a CSV file using PostgreSQL
- Using best practices in database security and fast query speeds
Course outline
PostgreSQL for Data Engineering [7 lessons]
Introduction to Postgres 2h
Lesson Objectives- Define the basics of the Postgres database
- Identify the differences between Postgres and SQLite
Creating Tables 2h
Lesson Objectives- Modify table column data types in Postgres
- Employ proper datatypes for your data
Prepared Statements and SQL Injections 1h
Lesson Objectives- Define prepared statements
- Define SQL injections
Loading and Extracting Data with Tables 2h
Lesson Objectives- Load data into Postgres tables
- Copy data between tables
User and Database Management 1h
Lesson Objectives- Manage users and databases in Postgres
- Create users using best security practices
Project: PostgreSQL Installation 1h
Lesson Objectives- Create a local Postgres database
- Connect to a local Postgres database
Guided Project: Building a database for crime reports 1h
Lesson Objectives- Build a database
- Load CSV data into a database
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