### Course Overview
- **Course Title:** **Data Visualization with Python and New Methods in Matplotlib**
- **Instructor:** **S. Emadedin Hashemi** (AI Expert and Data Scientist)
- **Target Audience:**
- Beginners and professionals in **data science**, **data analysis**, or **Python programming**
- Researchers, students, and managers needing **advanced data visualization** for reports, papers, or presentations
- Developers seeking to enhance **3D plotting** and **custom visualization** skills
- **Prerequisites:** **None** (No prior programming experience required)
### Curriculum Highlights
- **Key Topics Covered:**
- **3D data visualization** techniques in **Matplotlib**
- **Advanced plotting** with Python libraries (e.g., Matplotlib, Seaborn, Plotly)
- **Custom function development** for professional-grade visualizations
- **Data preparation** and preprocessing for visualization
- **Interactive and static visualizations** for scientific, business, and academic use
- **New and niche diagram types** for specialized data representation
- **Key Skills Learned:**
- Designing **3D graphs** and **interactive plots** in Python
- Creating **publication-ready visualizations** for papers, reports, and presentations
- Building **custom visualization functions** for reusable code
- Preparing and **cleaning datasets** for effective visualization
- Applying **advanced Matplotlib techniques** for unique data storytelling
### Course Format
- **Duration:** **3.5 hours** of on-demand video
- **Format:** **Self-paced online course** (lifetime access)
- **Resources:**
- **16 articles** (supplemental reading)
- **15 downloadable resources** (code templates, datasets, exercises)
- **Mobile and TV access**
- **Certificate of completion**
### Additional Information
- **Course Language:** English
- **Last Updated:** N/A
- **Student Enrollment:** **93,313+ students**
- **Instructor Rating:** **4.3/5** (based on **843 reviews**)
