Overview This course offers a comprehensive guide to web scraping and mapping dam levels using Python and Leaflet, tailored for …
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This course offers a comprehensive guide to web scraping and mapping dam levels using Python and Leaflet, tailored for individuals seeking to harness the power of data extraction and geographical data visualization. Participants will start with the basics of web scraping using Python libraries such as Beautiful Soup and Requests to extract dam level data from various sources. The course then shifts focus to data processing and storage techniques, ensuring learners can manage and utilize the scraped data effectively. Following this, the course introduces Leaflet, a leading open-source JavaScript library, to create interactive maps that visually represent dam levels across different regions. Through a blend of theoretical knowledge and practical exercises, students will learn to combine web scraping and mapping technologies to develop comprehensive data-driven mapping applications. This course is designed to equip learners with the skills to undertake real-world projects, from initial data collection to the final presentation of information in an interactive, user-friendly format.
On Completion of this Web Scraping and Mapping Dam Levels in Python and Leaflet online course, you’ll acquire:
This course delves into the specialized field of web scraping and geographical mapping, focusing on the extraction of dam level data and its visualization on maps. Through detailed instruction and hands-on projects, students will learn to use Python for scraping web data and Leaflet for mapping that data effectively. The curriculum is designed to provide a strong foundation in both technologies, enabling learners to build dynamic and interactive maps that can display real-time dam levels. By the end of the course, participants will have the skills to apply these techniques in various domains, enhancing their ability to make data-driven decisions and presentations.
Ideal for data analysts, environmental scientists, software developers, and GIS specialists interested in web scraping, data visualization, and mapping technologies.
Basic knowledge of Python programming and an interest in data analysis and visualization. No prior experience with Leaflet is required.
Upon successful completion of the Web Scraping and Mapping Dam Levels in Python and Leaflet course, learners can obtain both a PDF certificate and a Hard copy certificate for completely FREE. The Hard copy certificate is available for a nominal fee of £3.99, which covers the delivery charge within the United Kingdom. Additional delivery charges may apply for orders outside the United Kingdom.
An outstanding online course with clear explanations and practical examples. I could study at my own pace and still feel fully supported throughout. It’s truly boosted my confidence and career prospects
The course was well-structured, engaging, and easy to follow. The flexibility made it perfect alongside my full-time job. I’ve gained valuable, real-world skills that I can apply immediately.
Excellent learning experience from start to finish. The content was professional, up-to-date, and highly relevant. I would highly recommend it to anyone looking to upskill online.
| Section 01: Introduction | |||
| Introduction | 00:16:00 | ||
| Section 02: Building a Spatial Database | |||
| Installing PostgreSQL and PostGIS | 00:08:00 | ||
| Creating the Application Database | 00:03:00 | ||
| Section 03: Creating a Django Python Application | |||
| Installing Django in a Python Virtual Environment | 00:08:00 | ||
| Installing the ATOM IDE | 00:09:00 | ||
| Section 04: Writing the Django Server-Side Code | |||
| Creating the Django Base Project | 00:08:00 | ||
| Adding the Database Configuration to the settings.py File | 00:09:00 | ||
| Creating a Model in the models.py File | 00:07:00 | ||
| Section 05: Web Scraping and ETL | |||
| Extracting Data from the Web | 00:24:00 | ||
| Cleaning and Transforming the Data Part 1 | 00:18:00 | ||
| Cleaning and Transforming the Data Part 2 | 00:10:00 | ||
| Loading the Data into the Model | 00:12:00 | ||
| Section 06: Building the Django Front-End | |||
| Adding the Web Map Tile Service Link in settings.py | 00:08:00 | ||
| Reading from the Model and Creating a GeoJSON Dataset | 00:12:00 | ||
| Adding Template Files (HTML) | 00:10:00 | ||
| Adding a Layout and the Base Map | 00:25:00 | ||
| Section 07: Data Visualization | |||
| Plotting Circle Markers | 00:16:00 | ||
| Creating a Sliding Sidebar | 00:14:00 | ||
| Creating a Doughnut Chart | 00:19:00 | ||
| Creating a Multi-Bar Bar Chart | 00:12:00 | ||
| Creating a KPI | 00:17:00 | ||
| Section 08: Project Source Code | |||
| Resource | 00:00:00 | ||
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