Course Description

Welcome to the Creating Smart Maps with Python and Leaflet Windows Version course. We' ll be building a python GIS application from scratch using a variety of open source technologies. The purpose of this course is to learn to create geospatial analytics and convert it into a functional application.

In our case we will be working with residential water consumption data and we will be applying data processing techniques to extract, transform, and load the data into out spatial database. Once we have processed and cleaned the data, we will use it as a data source for building our GeoDjango Web Map Application.

We will be powering our application with a PostgreSQL and PostGIS database. In the front-end we will use Bootstrap, JavaScript, Leaflet and Ajax. On the server side we will be using Python and Django combined with scientific libraries like pandas, for our data transformation and conversion operations. The operating system the we will be working on is Windows 10 and Server 2016.

Course curriculum

  1. 01
  2. 02
    • Installing Python

    • Installing PostgreSQL and PostGIS

    • Creating a SpatialDB using pgAdmin

  3. 03
    • Creating a Virtual Environment

    • Installing GeoDjango Part 1

    • Installing GeoDjango Part 2

    • Installing Visual Studio Code

    • Creating a Django Base Application

    • Testing Django Installation

    • Connecting Spatial Database to the Django Application

  4. 04
    • Creating Django Admin User

    • Creating the Application Model

    • Downloading Dataset

    • Registering model in the file

  5. 05
    • Configuring Leaflet

    • Downloading Base User Interface Templates

    • Creating Templates Folder

    • Creating the Layout Page

    • Creating the Index Page

    • Creating the Index View

    • Adding the CSS Styling and Sidebars

  6. 06
    • Creating Dataset

    • Displaying the Data on the Map

    • Creating a Legend

    • Creating a Bar Chart Legend

    • Creating the Bar Chart

  7. 07
    • Source Code

Pricing - Life time Access

What will you learn?

  • How to build Spatial Database using PostgreSQL and PostGIS.

  • How to create charts with Chart.js.

  • How to build web maps with Leaflet.js.

  • How to build REST API endpoints.

  • Some skills in JavaScript programming.

  • How to build web applications using the Django MVC framework.

GEO Premium

Access our ENTIRE content instantly with a subscription

Student profile?

  • Undergraduate students

  • Master students and PhD candidates

  • Researchers and Academics

  • Professionals and Companies

Some more information

  • Certificates of Completion

    After you successfully finish the course, you can claim your Certificate of Completion with NO extra cost! You can add it to your CV, LinkedIn profile etc

  • Available at any time! Study at your best time

    We know hard it is to acquire new skills. All our courses are self paced.

  • Online and always accessible

    Even when you finish the course and you get your certificate, you will still have access to course contents! Every time an Instructor makes an update you will be notified and be able to watch it for FREE

About your Instructor

Data Engineer and business intelligence consultant with an academic background in Bsc computer science and around 5 years of experience in IT. Involved in multiple projects ranging from Business Intelligence, Software Engineering, IoT and Big data analytics. Expertise are in building data processing pipelines in the Hadoop and Cloud ecosystems and software development. My career started as an embedded software engineer writing firmware for integrated microchips, then moved on as an ERDAS APOLLO developer at geo data design a hexagon geospatial partner. Am now a consultant at one of the top business intelligence consultancies helping clients build data warehouses, data lakes, cloud data processing pipelines and machine learning pipelines. The technologies I use to accomplish client requirements range from Hadoop, Amazon S3, Python, Django, Apache Spark, MSBI, Microsoft Azure, SQL Server Data Tools, Talend and Elastic MapReduce.

Edwin Bomela

Data Engineer and business intelligence consultant