Smart maps with Python and Leaflet
Smart maps are interactive maps that help you explore geospatial data in a clear and engaging way. Unlike static images, they let users zoom, filter, and even run simple analyses. This interactive layer makes it easier to spot patterns, trends, and connections in your data.
In this course, you’ll learn to build smart maps using Python and Leaflet.js. We’ll create a working web app together that turns raw data into visual insights. Using a real case—household water usage—you’ll clean and prepare data, then load it into a spatial database using PostgreSQL and PostGIS.
Next, we’ll build a GeoDjango-based web app. On the frontend, you’ll use Leaflet, Bootstrap, JavaScript, and Ajax to create interactive maps. On the backend, you’ll work with Python, Django, and data libraries like pandas to organize and prepare your data. The course runs in a Windows environment (Windows 10 and Server 2016), so you’ll work within familiar systems.
In short, you’ll learn how to turn raw geospatial data into a fully functional interactive map—through a blended learning format that combines guided theory with real practice.
What will you learn in this blended learning course?
This blended course is designed to help you turn geospatial data into clear, interactive web maps. You’ll use open-source tools like Python, Leaflet, and PostgreSQL/PostGIS—and it’s totally beginner-friendly, even if you’ve never worked with code or GIS before.
You’ll follow a step-by-step process, from collecting and cleaning data to building a complete web app. First, you’ll learn how to clean and structure your data using Python and pandas. Then, you’ll store that data in a spatial database. After that, you’ll build interactive maps in the browser using Leaflet and JavaScript. You’ll also learn how to dynamically load data with Ajax and connect the frontend and backend seamlessly.
What makes this course stand out is its hands-on, practical approach. You’ll apply what you learn right away through a realistic project. By the end, you won’t just understand how it all works—you’ll have built something you can actually use or expand on in your own work.
Why choose this course on smart maps with Python and Leaflet?
Blended learning gives you the best of both worlds—live interaction and flexible, self-paced study—so you can build real, job-ready skills in web-based geospatial development.
We kick off with a live session where you’ll start working with real data right away. With expert guidance, you’ll clean and organize geodata using Python and pandas, then store it in a spatial database using PostgreSQL and PostGIS.
Next, through our self-paced modules, you’ll explore core techniques for web map development. You’ll use Leaflet to create engaging interactive maps, apply styling with Bootstrap, and load data with Ajax. On the backend, you’ll use Django and Python libraries to prepare your data for display.
Later in the course, you’ll join a second live session to put it all together. You’ll build a full smart map application—connecting the frontend and backend, solving real-world issues, and getting feedback as you finalize your project.
One of the course highlights is the real-world case study. You’ll go through the entire process—from importing and transforming data to displaying it in a functional, browser-based map.
By blending expert instruction with real-world practice, this course gives you more than just tool knowledge. By the end, you’ll be able to independently build, analyze, and publish interactive maps—ready to turn complex data into clear, actionable insights.