Quick Facts
Instructor: S. Emadedin Hashemi
Introduction
This course teaches advanced data visualization with Python, including 3D figures and professional plotting. It is for developers, analysts, students, researchers and managers who want to present data clearly. You do not need prior programming experience — the course promises to teach all required skills. By the end, you will be able to prepare data, design robust plots, and produce visuals suitable for reports, papers, websites and presentations.
What you’ll learn
- Design and illustrate figures and plots in 3D for clear spatial insight.
- Gain familiarity with Python libraries used for data visualization.
- Apply new and practical diagram types to represent data across fields.
- Create reusable functions that draw professional plots.
- Collect, clean and prepare data so visuals are accurate and ready.
- Format charts for managers, scientific papers, classroom use and web display.
- Export and present plots in standard formats for reports and slides.
Course Overview
This practical course focuses on advanced plotting techniques in Python, with special emphasis on three-dimensional visualization. You will move beyond simple charts to learn how to design, style and label complex figures so that patterns and trends become obvious. The course covers preparing and collecting data for visual work, choosing the right diagram types for different fields, and building functions that make repeated plotting tasks fast and consistent. Hands-on lessons show how to turn raw data into attractive visuals for managers, scientific papers, university classes, websites and advertisements. No programming background is required; the lessons start from fundamentals and progress to professional-level plot design.
Syllabus Highlights
- Module: Foundations — data collection, cleaning and preparation
- Module: 2D to 3D — principles of spatial plotting and axes management
- Module: Diagram types — practical charts for different domains
- Module: Functions and automation — build reusable plotting routines
- Module: Presentation — styling, annotating and exporting for publications
Who this is for
- Developers
- Data Analysts
- Data Scientists
- Students
- Researchers
- Managers
Prerequisites
No programming experience needed.
How to Enroll / Claim Free Access
- Find the course page on the platform where it is listed.
- Click Enroll and follow the standard sign-up steps on that site.
- Check the price at checkout, free status can change.
- Complete any required registration and start the first lesson.
“Free status can change anytime. Please verify the price on the enrollment/checkout page.”
Tips to Complete Faster
- Plan 30–60 minutes daily: one short lesson plus a quick practice plot.
- Focus first on data preparation, then on simple 2D charts before 3D.
- Re-use and refine one plotting function each day to build a personal library.
- Apply lessons to a small real dataset (work, study or public data) for faster learning.
FAQ
- Is it really free?
The free status can change. Always check the course price at checkout before enrolling. - Will I get a certificate?
Not specified. - How long will it stay free?
It can change at any time; verify availability before you enroll. - Do I need programming experience?
No programming experience is needed. The course covers what you must learn. - Can I use the visuals in papers or presentations?
Yes. The course teaches how to create publication-ready and presentation-ready plots.
Conclusion
Advanced data visualization is a practical skill that makes complex data easier to understand and share. This course teaches 3D plotting, diagram choice, function creation and data preparation so you can produce clear visuals for many uses. Remember to verify the course price and free availability before enrolling. Join our WhatsApp group for free course alerts
