Python Matplotlib Programming with Coding Exercises

Course Overview

• Course Title: Python Matplotlib Programming with Coding Exercises
• Instructor: Dr Python
• Target Audience:
  • Data scientists
  • Analysts
  • Python enthusiasts
• Prerequisites: Basic knowledge of Python programming

Curriculum Highlights

• Key Topics Covered:
  • Introduction to Matplotlib and its importance in data visualization
  • Anatomy of Matplotlib plots and customization techniques
  • Creating various types of plots (line, bar, scatter, histogram, pie charts)
  • Working with subplots for complex visualizations
  • Adding labels, titles, legends, and annotations
  • Styling plots with colors, markers, and line styles
  • Saving and exporting visualizations
• Key Skills Learned:
  • Creating and customizing plots
  • Enhancing data visualization clarity and aesthetics
  • Working with subplots and complex visualizations
  • Practical experience with real-world data visualization projects

Course Format

• Duration: 1 hour on-demand video
• Format: Self-paced online course
• Resources:
  • 2 practice tests
  • Assignments
  • 10 articles
  • Access on mobile and TV
  • Certificate of completion