Python is a high-level programming language that is used by both beginners and experts alike. It has a simple syntax, and it’s easy to learn even for people who have never programmed before.
Python can be used on all operating systems, which makes it an excellent choice for programmers who want to work on more than one system.
The main reason why Python will be the language of the future is that it’s easy to learn, versatile, and powerful enough for any task.
The best way to learn Python after learning all the syntax and functions is to work on projects. Python guided projects in Coursera is a perfect mini Python project for beginners with code.
By enrolling in the Python-guided projects, you gain more exposure to the Python programming language. Practice makes perfect. The more you do, the better you get.
Assuming you’ve recently completed a Python course, you’re on the lookout for working on Python mini-projects. Well, you’re in the right spot. Here we have listed the best Python project guide from Coursera that you can take. The cost of Coursera Python guided projects is $10.
Why is it Important?
Nowadays, just having the Python certification won’t help you get a job. But it will help if you’ve worked on enough projects to show the necessary skills on your resume. We recommend that you take more than a few Coursera Python projects for practice to add value to your resume and portfolio.
Now let’s check out all the best Python projects for practice offered by Coursera. You may also check out a list of all Python-guided projects on Coursera.
Best Python Guided Projects in Coursera for Practice
Python lets you build anything from web apps to complex data science and machine learning systems. It’s been around for decades and has been used by large companies like Google, YouTube, Dropbox, and Netflix.
1. Create Your First Python Program
This project course is a simple Python project aimed at those who have never written a line of Python programs. Here you will learn all the necessary basics of Python programming language. Since the Python syntax is straightforward, even a non-technical person will find this project helpful.
The step-by-step learning method is useful to help understand every line of Python code. This is one of the best python projects for beginners. Once you learn all the needed skill sets, you will create your first command-line application to manage a To-Do List.
2. Create Your First Web App with Python and Flask
This Python project for beginners with code will teach you to build a web application with Python and Flask. Flask is a compelling resource to build web applications and is very simple to use. Some of the core topics covered here are SQLAlchemy, SQLite, and using Templates in Flask Applications.
The project provides a good overview of how forms, routes, and SQLAlchemy works in Flask. This is essential to understand when working to build a web app or working with Flask. Many people fail at the task without correctly understanding the core topics. Over 3.7k students have taken this course and benefitted from the learning.
3. Python Dynamic HTML Web Server
In this Python project, the guide will provide you with clear instructions in a split-screen video. The goal of this Python project is to create a simple HTTP server, create a static page, and a dynamic page. All this is done using the Python programming language. You will also gain experience in defining Routes to the pages in the webserver.
This is one of the best Python projects for beginners, and it can be completed in one hour. By completing this project course, you will have an excellent understanding of how web servers work. Compared to Java, Python’s web server can be built in one line of code. If your interest lies in becoming a web developer, check out the best front-end web development courses.
4. Create Your First Game with Python
Since Python is also used in game development, this project will be the stepping stone to becoming a game developer. This project is for someone who is interested in creating games using Python. If you know the syntax of Python and some programming concepts, then you’re good to take this course.
The project’s length is about 2 hours, which is enough to learn the game development basics with Python. Here you’ll be using the PyGame module to create your first game. Then you will use the concepts to develop the game with Python and PyGame. The teaching style of this project course is crystal clear; hence anyone can take this course.
5. Python Tricks and Hacks for Productivity
By taking this project course, you will be able to master the tips and tricks of Python and improve productivity. In this Python-guided project by Coursera, you will describe Python Data Structures. The use of data structure is done through the set, namedtuple, defaultdict, and type hinting.
By the end of the project, you will have increased your coding speed and conciseness by learning many new techniques. Professionals such as software engineers and data scientists will enjoy and find this Python project useful.
6. Python Data Structures
This is one of the best Python projects for intermediate students. The importance of data structure and algorithms is very crucial for every programmer. It plays an essential role in the development of applications. Here you will create the tuple and use it in the function to create a quiz.
The use of lists in Python is useful in sorting a collection of data items. Without the data structures, this will be very difficult to achieve. The study material of this project is very useful and makes you more confident in Python programming. Over 2k students have enrolled in this Python project for intermediate.
7. Create a Python Application using MySQL
In this Python project for intermediate, you will create a Python application using MySQL. To connect the Python application with the MySQL database, you will be using Python’s MySQL Connector. To learn SQL/MySQL completely, check out the best online course to learn SQL/MySQL.
When creating an application, managing data efficiently is essential. Here you will learn the importance of implementing a relational database in your Python application. Then you will be able to MySQL table. Inserting data and modifying the data will become easier.
8. Create a Python Application using PyMongo and MongoDB Database
This Python-guided project will teach you to create a Python application using MongoDB and PyMongo. Similar to MySQL, this project uses MongoDB to connect to your Python application. If you’d like to learn MongoDB thoroughly, then the best MongoDB online course will be helpful.
After connecting the MongoDB using PyMongo to your Python application, you will be able to retrieve data from the collection and display it. Using PyMongo, you will learn to create a database and collection. Then you will be able to query and populate a collection with documents.
9. Create Your First Chatbot with Rasa and Python
If you’re interested in creating Chatbots, then this guided project is right for you. Using Rasa and Python, you will build your first Chatbot. Rasa is an excellent framework for developing AI-powered chatbots. This chatbot project is a beginner’s course; hence any level of programmer can enroll in this.
Here you will understand some of the essential aspects of the Rasa framework and chatbot development. It covers the fundamental training on Rasa to help you get started. After completing this project, you will be able to create as many AI-powered chatbots as you want.
10. Image Processing with Python
In this Python-guided project for intermediate, you will learn to process images using Python. To get started, you will create a Python application to read all the images from a list. Then change the appearance and size of the image to save it in a different directory. In this project, the Python application will read the images, modify images, and then batch process images.
Image processing is used to create weird and beautiful images. Many of the images that you have seen online has undergone this process. It is used to enhance medical imaging to screen patients for cancer or other diseases. Over 2.8k learners have taken this course to learn image processing with Python.
11. Testing and Debugging Python
This Python project is suitable for intermediate learners, where you will learn to create a Python application that uses a new sorting algorithm. You will also create a test to sort the algorithm and debug to find any bugs in the code. The main goal of the project is to teach the technique of testing and debugging Python code.
The ability to learn to test the code is one of the essential skillsets of a developer. Testing may also involve creating a new program to test the purpose of the code. More than 2.9k students have enrolled in this Python guided project.
12. Classification Trees in Python, From Start To Finish
In this Python project, you will train on how to build classification trees in Python. Here you will be using the real-world dataset to create the classification trees in Python. Then you will learn to apply Cross-Validation and Cost Complexity Pruning to build a tree.
To take part in this project, you should be familiar with Python and the theory behind Cost Complexity Pruning, Decision Trees, Confusion Matrices, and Cross-Validation. This project has been enrolled by over 3.7k students and has the best rating on the Coursera platform.
13. Processing Data with Python
Python is one of the easiest and most demanding programming languages that anyone can learn. And the Python projects will provide more hands-on skills. In this project, you will learn to process the data that is virtually used in every field. It may be analyzing weather patterns or business practices, or any other form of data.
Python supports many libraries used in Data Science, Artificial Intelligence, Machine Learning, and more. Its libraries can be used to analyze and parse the data that is in any form. This is crucial and important in the field of Data Science. The course has an average rating of 4.5 by over 100 students.
14 Data Visualization with Python
Since Data Visualization is used in every field, it is an essential skill that many programmers lack. This project is a perfect place to learn visualization techniques using Python. Adding visualization to your data brings meaning to numbers and helps in making decisions.
This Python project involves building a Python application to read data from CSV files. Then you will use different techniques to create the visualization. To learn more about data visualization, check out the best online course to learn Tableau.
15. Geo-Visualization in Python
Here you will learn how geo-visualization works. Then you will learn to use it to plot useful maps, which will help in data science projects. You will create maps by learning to work with folium. You will create and visualize geographical maps in Python.
Thus we conclude this article with the list of best Python guided projects in Coursera to learn in 2022. To have a successful Python developer career, we recommend taking more than a few projects to have vast exposure in the field.
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