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Course

Introduction to Databases in Python

IntermediateSkill Level

4.7+

Updated 08/2024

In this course, you'll learn the basics of relational databases and how to interact with them.

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PythonData Manipulation

4 hr

20 videos

66 Exercises

5,550 XP

100K+

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Course Description

In this course, you'll learn the basics of using SQL with Python. This will be useful because databases are ubiquitous and data scientists, analysts, and engineers must interact with them constantly. The Python SQL toolkit SQLAlchemy provides an accessible and intuitive way to query, build, and write to essential databases, including SQLite, MySQL, and PostgreSQL.

Prerequisites

Intermediate Python

1

Basics of Relational Databases

In this chapter, you’ll get acquainted with the fundamentals of relational databases and the relational model for database management. You will learn how to connect to a database and interact with it by writing basic SQL queries, both in raw SQL as well as SQLAlchemy, which provides a Pythonic way of interacting with databases.

Introduction to Databases

Relational model

Connecting to your database

Engines and connection strings

Autoloading Tables from a database

Viewing Table details

Introduction to SQL queries

Selecting data from a Table: raw SQL

Selecting data from a Table with SQLAlchemy

Handling a ResultSet

Congratulations!

2

Applying Filtering, Ordering and Grouping to Queries

In this chapter, you will build on your database knowledge by writing more nuanced queries that allow you to filter, order, and count your data—all within the Pythonic framework provided by SQLAlchemy.

Filtering and targeting data

Connecting to a PostgreSQL database

Filter data selected from a Table - Simple

Filter data selected from a Table - Expressions

Filter data selected from a Table - Advanced

Ordering query results

Ordering by a single column

Ordering in descending order by a single column

Ordering by multiple columns

Counting, summing, and grouping data

Counting distinct data

Count of records by state

Determining the population sum by state

SQLAlchemy and pandas for visualization

ResultsSets and pandas DataFrames

From SQLAlchemy results to a plot

3

Advanced SQLAlchemy Queries

In this chapter, you will learn to perform advanced—and incredibly useful—queries that enable you to interact with your data in powerful ways.

Calculating values in a query

Connecting to a MySQL database

Calculating a difference between two columns

Determining the overall percentage of women

SQL relationships

Automatic joins with an established relationship

More practice with joins

Working with hierarchical tables

Using alias to handle same table joined queries

Leveraging functions and group_bys with hierarchical data

Handling large ResultSets

Working on blocks of records

4

Creating and Manipulating your own Databases

In the previous chapters, you interacted with existing databases and queried them in different ways. Now, you will learn how to build your own databases and keep them updated.

Creating databases and tables

Creating tables with SQLAlchemy

Constraints and data defaults

Inserting data into a table

Inserting a single row

Inserting multiple records at once

Loading a CSV into a table

Updating data in a table

Updating individual records

Updating multiple records

Correlated updates

Deleting data from a database

Deleting all the records from a table

Deleting specific records

Deleting a table completely

5

Putting it all together

Bring together all of the skills you acquired in the previous chapters to work on a real-life project. From connecting to a database and populating it, to reading and querying it.

Census case study

Setup the engine and metadata

Create the table to the database

Populating the database

Reading the data from the CSV

Load data from a list into the Table

Querying the database

Determine the average age by population

Determine the percentage of population by gender and state

Determine the difference by state from the 2000 and 2008 censuses

Congratulations!

Introduction to Databases in Python

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FAQs

Which Python library is used to work with databases in this course?

You will use SQLAlchemy, a Python SQL toolkit that provides an intuitive, Pythonic way to query, build, and write to databases including SQLite, MySQL, and PostgreSQL.

Do I need to know SQL before starting this course?

No prior SQL knowledge is required. The course teaches you basic SQL queries alongside their SQLAlchemy equivalents, starting from the fundamentals of relational databases.

Will I learn to create my own databases or just query existing ones?

Both. The first three chapters focus on querying existing databases, and chapter 4 teaches you to create, populate, and update your own databases using SQLAlchemy.

What does the final chapter project involve?

Chapter 5 is a real-life project where you connect to a database, populate it with data, and apply all the querying and manipulation skills from the previous chapters.

How many exercises does this course include?

The course has 5 chapters with 66 exercises totaling 5,550 XP, making it one of the more comprehensive introductory database courses available.

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