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

Llama for Python Programmers (Coursera) Coursera
University of Michigan

Llama for Python Programmers (Coursera)

Llama for Python Programmers is designed for programmers who want to leverage the Llama 2 large language model (LLM) and take advantage of the generative artificial intelligence (AI) revolution. In this course, you’ll learn how open-source LLMs can run on self-hosted hardware, made possible through techniques such as quantization by using the llama.cpp package.

Nov 9th 2026
3 Weeks
Foundations of Data Science: K-Means Clustering in Python (Coursera) Coursera
University of London,Goldsmiths, University of London

Foundations of Data Science: K-Means Clustering in Python (Coursera)

This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks.

Nov 2nd 2026
5-12 Weeks
Introduction to PySpark (Coursera) Coursera
Edureka

Introduction to PySpark (Coursera)

Welcome to Introduction to PySpark, a short course strategically crafted to empower you with the skills needed to assess the concepts of Big Data Management and efficiently perform data analysis using PySpark. Throughout this short course, you will acquire the expertise to perform data processing with PySpark, enabling you to efficiently handle large-scale datasets, conduct advanced analytics, and derive valuable insights from diverse data sources.

Nov 9th 2026
1 Week
Applied Plotting, Charting & Data Representation in Python (Coursera) Coursera
University of Michigan

Applied Plotting, Charting & Data Representation in Python (Coursera)

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework.

Nov 2nd 2026
4 Weeks
Understanding and Applying Text Embeddings (Coursera) Coursera
DeepLearning.AI

Understanding and Applying Text Embeddings (Coursera)

The Vertex AI Text-Embeddings API enhances the process of generating text embeddings. These text embeddings, which are numerical representations of text, play a pivotal role in many tasks involving the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions.

Nov 9th 2026
1 Week
Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript (Coursera) Coursera
University of Michigan

Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript (Coursera)

Why should a designer learn to code? As our world is increasingly impacted by the use of algorithms, designers must learn how to use and create design computing programs. Designers must go beyond the narrowly focused use of computers in the automation of simple drafting/modeling tasks and instead explore the extraordinary potential digitalization holds for design culture/practice.

Nov 9th 2026
5-12 Weeks
Introduction to Open Source Application Development (Coursera) Coursera
Illinois Tech

Introduction to Open Source Application Development (Coursera)

This course introduces basic concepts of systems programming using a modern open source language. You will learn to apply basic programming concepts toward solving problems, writing pseudocode, working with and effectively using basic data types, abstract data types, control structures, code modularization and arrays. You will learn to detect errors, work with variables and loops, and discover how functions, methods, and operators work with different data types. You will also be introduced to the object paradigm including classes, inheritance, and polymorphism.

Nov 9th 2026
5-12 Weeks