![]() Mad Libs - Learn how to make interactive Python Mad Libs! Guessing Game - This is another beginner-level project that’ll help you learn and practice the basics. Rock, Paper, Scissors - Start your Python learning journey with a simple-but-fun game that everybody knows.īuild a Text Adventure Game - This is a classic Python beginner project (it also pops up in this book) that’ll teach you many basic game setup concepts that are useful for more advanced games. Star Wars Survey - In this project, you’ll work with Jupyter Notebook to analyze data on the Star Wars movies.Īnalyzing NYC High School Data - Discover the SAT performance of different demographics using scatter plots and maps.įun Python Project Ideas for Building Data Skills:įind out How Much Money You’ve Spent on Amazon - Dig into your own spending habits with this beginner-level tutorial!Īnalyze Your Own Netflix Data - Another beginner-to-intermediate tutorial that gets you working with your own personal dataset.Īnalyze Your Personal Facebook Posting Habits - Are you spending too much time posting on Facebook? The numbers don’t lie, and you can find them in this beginner-to-intermediate Python data project.Īnalyze Survey Data - This walk-through will show you how to set up Python and how to filter survey data from any dataset (or just use the sample data linked in the article).ĭataquest’s Guided Projects - These guided projects walk you through building real-world data projects of increasing complexity, with suggestions for how to expand each project.Īnalyze Everything - Grab a free dataset that interests you, and start poking around! If you get stuck or aren’t sure where to start, our Python courses are here to help, and you can try them for free! Play the role of a data analyst and pretend the stakeholders want answers to important data questions. Storytelling Data Visualization on Exchange Rates - Quickly create multiple subsetted plots using one or more conditions.Ĭlean and Analyze Employee Exit Surveys - Work with exit surveys from employees of the Department of Education in Queensland, Australia. ![]() You’ll use Python to provide value through practical data analysis.Įxploring Hacker News Posts - Work with a dataset of submissions to Hacker News, a popular technology site.Įxploring eBay Car Sales Data - Use Python to work with a scraped dataset of used cars from eBay Kleinanzeigen, a classifieds section of the German eBay website.įinding Heavy Traffic Indicators on I-94 - Explore how using the pandas plotting functionality along with the Jupyter Notebook interface allows us to explore data quickly using visualizations. Profitable App Profiles for the App Store and Google Play Markets - In this guided project, you’ll work as a data analyst for a company that builds mobile apps. Prison Break - Have some fun, and analyze a dataset of helicopter prison escapes using Python and Jupyter Notebook. ![]() The links below will take you to the course that contains the project you're looking for. They provide the curriculum needed to complete the project, along with structure in case you get stuck. These are Dataquest's guided projects, which are recommended for beginners. Guided Python Projects to Help Build Your Portfolio (Recommended): See if you can find one that piques your interest. Now, let’s look at a few Python project examples. Getting started is free! Beginner Python Project Examples That way, you can implement what you learn immediately. The idea is to learn the basics as quickly as possible so you can start doing things that are actually fun, like Python projects!Īt Dataquest, we include guided projects in virtually every course. However, If you’re just starting out, it’s important you learn Python basics first (we recommend our beginner Python courses here). ![]() If you have some programming experience, you might be able to dive straight into building a project. Before You Build Your First Python Project There are projects for beginner, intermediate, and advanced learners. Here's a list of over 50 incredible Python projects you can try yourself or use as inspiration. Why? Because building fun projects will accelerate your learning and keep motivation at an all-time high. To increase your chances of success, you must build Python projects. Or you might spend a ton of time learning syntax but eventually get bored or lose motivation. You can spend time reading a textbook or watching videos but then struggle to actually put what you’ve learned into practice. If I could give my former self one piece of advice when I was struggling to learn Python as a beginner, it would be this: create more Python projects.
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