Select Topics in Python: Django (Coursera)

Offered by Codio,
Select Topics in Python: Django (Coursera)

Code and run Django websites without installing anything! This course is designed for learners who some experience with Python but a novice to Django. The modules in this course cover setting up a Django project; understanding the relationship between views, templates, and URL patterns; introduces models and the database; styling with Bootstrap; and deploying Django.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course.
Course Learning Objectives:

  • View, templates, and URL patterns
  • Models and the database
  • Styling with Bootstrap
  • Deploying Django

Course 2 of 4 in the Select Topics in Python Specialization.

What You Will Learn

  • Styling with Bootstrap
  • Django's MVT framework
  • Deploying Django

Syllabus

WEEK 1
Beginner Django Project
Welcome to Week 1 of the Select Topics in Python: Django course. These assignments cover creating a basic Django project using views and templates. Learn how to style your project with Bootstrap. The module ends with uploading your project to GitHub for your portfolio and graded coding exercises.

WEEK 2
Movie Reviews
Welcome to Week 2 of the Select Topics in Python: Django course. These assignments cover creating a Django project with a model, views and templates. You will also learn how to manage your site with the Django Admin. Bootstrap will once again be used for styling. The module ends with uploading your project to GitHub for your portfolio and graded coding exercises.

WEEK 3
Production Django
Welcome to Week 3 of the Select Topics in Python: Django course. These assignments cover preparing a Django project for a production environment. Learn how you would host the Django project on Heroku, substitute Postgres for SQLite, etc. The module ends with uploading your project to GitHub for your portfolio and graded coding exercises.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Machine Learning for Accounting with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Machine Learning for Accounting with Python (Coursera)

This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.

Sep 21st 2026
5-12 Weeks
Gen AI for Code Generation for Python (Coursera) Coursera
Edureka

Gen AI for Code Generation for Python (Coursera)

Welcome to the 'Gen AI for Code Generation for Python' course, where you'll embark on a journey to explore and develop your skills in the art of code generation with Generative AI. Throughout this short course, you will delve into various techniques for generating Python code effortlessly, ranging from simple scripts to complete end-to-end projects.

Sep 14th 2026
1 Week
Selenium WebDriver with Python (Coursera) Coursera
Whizlabs

Selenium WebDriver with Python (Coursera)

“Selenium WebDriver with Python” is a foundational course that aims to provide a comprehensive understanding of Selenium and its components. It also helps in understanding how Selenium WebDriver Operates. This course begins by demonstrating an environment setup for Selenium WebDriver with Python. A brief description of locating Web elements and web Interactions is provided in this course. This course covers an overview of testing frameworks with Selenium WebDriver. Some advanced topics such as Handling Popup, Alerts, Multiple Browser Tabs, Mouse and Keyboard interactions are also highlighted in this course.

Sep 14th 2026
3 Weeks
Data Processing Using Python (Coursera) Coursera
Nanjing University

Data Processing Using Python (Coursera)

This course is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level.

Sep 14th 2026
5-12 Weeks
Estructuras de datos de Python (Coursera) Coursera
University of Michigan

Estructuras de datos de Python (Coursera)

Este curso presentará las estructuras de datos básicas del lenguaje de programación Python. Veremos los conceptos básicos de la programación de procedimientos y exploraremos cómo podemos usar las estructuras de datos integrados de Python, como listas, diccionarios y tuplas, para realizar análisis de datos cada vez más complejos. Este curso abarcará los capítulos 6 a 10 del libro de texto “Python para todos”. Este curso cubre Python 3.

Sep 14th 2026
5-12 Weeks
Applied Text Mining in Python (Coursera) Coursera
University of Michigan

Applied Text Mining in Python (Coursera)

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Sep 14th 2026
4 Weeks
An Introduction to Programming using Python (Coursera) Coursera
University of Leeds

An Introduction to Programming using Python (Coursera)

Maximise your employability, by learning the basics of coding in Python. Python is a versatile programming language used for developing websites and software, task automation, data analysis and more. In this course, you'll embark on an exciting journey into the world of Python and gain valuable skills that will enable you to start thinking about a career in programming.

Sep 21st 2026
2 Weeks
Principles of Computing (Part 2) (Coursera) Coursera
Rice University

Principles of Computing (Part 2) (Coursera)

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class.

Sep 7th 2026
4 Weeks
Audio Signal Processing for Music Applications (Coursera) Coursera
Stanford University,Universitat Pompeu Fabra

Audio Signal Processing for Music Applications (Coursera)

In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications.

Sep 14th 2026
5-12 Weeks
Laboratório de Programação Orientada a Objetos - Parte 1 (Coursera) Coursera
Universidade de São Paulo, Brasil

Laboratório de Programação Orientada a Objetos - Parte 1 (Coursera)

Este curso apresenta os conceitos mais importantes em torno do paradigma de desenvolvimento mais comum da indústria de software hoje: a Programação Orientação a Objetos (POO). Oferecido pelo Departamento de Ciência da Computação do Instituto de Matemática e Estatística da USP, o curso é voltado para quem já conhece os conceitos básicos de POO e quer se aprofundar no assunto, tornando-se um excelente programador. Ele funciona bem como uma sequência natural aos 2 cursos anteriores do Prof. Fabio Kon do IME-USP no coursera: Introdução à Ciência da Computação com Python.

Sep 21st 2026
5-12 Weeks