### Course Overview
- **Course Title:** *Python Data Visualization Mastery: From Beginner to Expert*
- **Instructor:** **Sheikh Coding Institute** (Sheikh Salah)
- **Target Audience:**
- Beginners with **basic Python knowledge** (variables, loops, functions)
- Data analysts, scientists, or developers seeking **advanced visualization skills**
- Professionals aiming to **communicate data insights visually**
- **Prerequisites:**
- **Basic Python programming** (variables, data types, loops, functions)
- **No prior data visualization experience** required
### Curriculum Highlights
- **Key Topics Covered:**
- **Fundamentals of Data Visualization** (principles, chart selection, common pitfalls)
- **Matplotlib** (static/interactive plots, customization, annotations)
- **Seaborn** (statistical graphics, advanced plotting for complex datasets)
- **Plotly & Cufflinks** (interactive web-ready visualizations, 3D plots)
- **Folium** (geospatial data visualization, interactive maps)
- **Pandas Integration** (streamlined data analysis-to-visualization workflows)
- **Dashboard Creation** (interactive dashboards, real-world dataset exploration)
- **Deployment** (publishing visualizations to web platforms)
- **Design Best Practices** (color palettes, labels, storytelling with data)
- **Key Skills Learned:**
- Build **static, interactive, and geographical plots** using Python libraries
- Customize visualizations for **specific design/branding requirements**
- Create **interactive dashboards** with Plotly and Folium
- Apply **data storytelling techniques** to highlight key insights
- Deploy visualizations to **web platforms** for sharing
- Select optimal **chart types** for different datasets (line, bar, scatter, histograms, etc.)
### Course Format
- **Duration:** **3 hours** on-demand video
- **Format:** **Self-paced online course** (lifetime access)
- **Resources:**
- **Mobile and TV access**
- **Certificate of completion**
- Hands-on **real-world dataset projects**
- **Downloadable code templates** (via GitHub/ course resources)
### Technical Specifications
- **Libraries Taught:** **Matplotlib**, **Seaborn**, **Plotly**, **Cufflinks**, **Folium**, **Pandas**
- **Project Types:**
- **Static visualizations** (customized plots, annotations)
- **Interactive dashboards** (exploratory data analysis tools)
- **Geospatial maps** (location-based data insights)
- **Deployment-ready** web visualizations
