Skip to content
CouponCode
Aprende Google Chart con PHP y MySQL

Aprende Google Chart con PHP y MySQL

Francisco Javier Arce Anguiano★4.5 rating

Aprende Google Chart con PHP y MySQL es un curso práctico impartido por Francisco Javier Arce Anguiano y disponible en Udemy. Este tutorial enseña a combinar Google Chart con PHP, MySQL, JSON, XML y archivos CSV, proporcionando habilidades listas para crear dashboards interactivos. Si buscas un free Google Chart course, un Udemy course actualizado en 2026, o deseas learn data visualization online, este entrenamiento cubre todo lo necesario para generar gráficos profesionales y obtener la certificación de finalización de Udemy.


What You'll Learn

  • Build dynamic Google Chart visualizations that pull data directly from MySQL databases using PHP.
  • Master the creation of Area charts, Bar charts and Bubble charts with real‑time data connections.
  • Learn how to integrate JSON, CSV and XML files as alternative data sources for Google Chart projects.
  • Understand annotation, tooltip, domain and confidence interval features to enrich chart interactivity.
  • Create Calendar charts that display daily, monthly and yearly trends, customizing day cells and labels.
  • Implement advanced chart types such as Gantt, Gauge, Geo, Candlestick, and Sankey diagrams with PHP back‑ends.
  • Apply JavaScript initialization objects to synchronize multiple charts on a single web page.
  • Analyze how to export chart data to Google Drive spreadsheets for collaborative reporting.

These outcomes equip you with a complete Google Chart toolbox, enabling you to build data‑driven web applications without external licensing fees.


Course Details

  • Instructor: Francisco Javier Arce Anguiano
  • Rating: 4.5 stars (based on student reviews)
  • Language: Español (es‑MX)
  • Certificate: Yes, upon completion
  • Includes: Lifetime access, mobile‑friendly videos, downloadable resources

The course delivers on‑demand video lessons that you can replay at any time, ensuring a flexible online course experience.


What This Course Covers

Connecting Data Sources

  • Configuring PHP scripts to query MySQL tables for chart data.
  • Importing CSV files and parsing them into JavaScript arrays.
  • Loading JSON payloads from external APIs for real‑time visualizations.
  • Reading XML documents and converting nodes into Google Chart data tables.

Area & Bar Chart Fundamentals

  • Designing Area charts with stacked series and gradient fills.
  • Building Bar charts with customizable axes, legends and color palettes.
  • Applying tooltips and annotations to highlight key data points.
  • Setting domain limits and confidence intervals for precise interpretation.

Advanced Chart Types

  • Generating Bubble charts that visualize four variables simultaneously.
  • Crafting Calendar heatmaps that illustrate temporal patterns across years.
  • Implementing Gantt, Gauge, Geo, Candlestick, and Sankey diagrams for specialized reporting.
  • Customizing chart options such as line styles, histogram bins, and word‑cloud layouts.

Interactivity & JavaScript Integration

  • Initializing multiple charts with a single JavaScript object for synchronized updates.
  • Embedding Google Drive spreadsheet data directly into chart datasets.
  • Adding event listeners for click, hover and selection actions.
  • Exporting chart images and data snapshots for offline analysis.

Each module combines theory with hands‑on coding exercises, reinforcing the Google Chart concepts through real‑world examples.


Who Should Take This Course

  • Web developers who already know PHP and MySQL and want to add data‑visualization skills.
  • Front‑end engineers seeking to integrate interactive charts without purchasing third‑party libraries.
  • Data analysts interested in creating shareable dashboards using only free Google tools.
  • Freelancers building client‑facing reporting portals that require dynamic charting.
  • Students preparing for certification exams that include JavaScript and database integration topics.

Prerequisites

  • Basic proficiency in PHP and MySQL queries.
  • Familiarity with JavaScript syntax and DOM manipulation.
  • Access to a code editor such as Visual Studio Code, Sublime Text or similar.
  • Modern web browser for testing chart rendering.

No prior experience with Google Chart is required; the course starts with foundational concepts.


Why Enroll in This Course

You receive a free coupon that unlocks 100 % off the regular Udemy price for a limited time. The training is continuously updated, reflecting the latest Google Chart API changes as of July 2026. Compared with generic tutorials, this course provides end‑to‑end project files, real‑world use cases, and a Udemy‑issued certificate that validates your new skill set.


Course Highlights

  • Lifetime access to all video lessons and future updates.
  • Self‑paced learning allows you to practice coding on your own schedule.
  • Certificate of completion adds credibility to your professional portfolio.
  • Mobile‑friendly interface lets you study from smartphones or tablets.
  • Downloadable source code for every example, enabling immediate experimentation.
  • 30‑day money‑back guarantee ensures risk‑free enrollment.

Frequently Asked Questions

Q: Is this course really free?
A: Yes, the Udemy platform offers a free coupon that reduces the price to zero for a short promotional period. Once you apply the coupon, you can enroll without any payment.

Q: What will I learn in this Google Chart course?
A: You will learn to connect Google Chart with PHP and MySQL, create a wide variety of chart types, integrate JSON/CSV/XML data, and add interactive features such as tooltips and annotations.

Q: Do I get a certificate after completing this course?
A: A Udemy‑issued certificate of completion is awarded automatically once you finish all video lessons and pass the optional quizzes.

Q: Is this course suitable for beginners?
A: The training assumes basic knowledge of PHP, MySQL and JavaScript, so it is ideal for developers who are not beginners in those languages but are new to Google Chart.

**Q: How