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Matplotlib

Overview
Curriculum

Welcome to Realcare Tech Mark's Online Matplotlib Course, where you'll embark on a visual journey to master the art of data visualization using Matplotlib—a powerful and versatile plotting library in Python. Whether you are a data scientist, analyst, or enthusiast, this course is designed to elevate your skills in creating compelling and informative visualizations.

WHAT TO EXPECT

  • Introduction to Matplotlib: Explore the basics of Matplotlib, understanding its role in data visualization, and the anatomy of Matplotlib figures.
  • Basic Plots: Learn to create essential plots such as line plots, scatter plots, and bar plots to visualize data distributions and relationships.
  • Customizing Plots: Gain practical skills in customizing plots to enhance readability and visual appeal, including color, style, and annotations.
  • Subplots and Layouts: Understand how to create multiple subplots within a figure, arranging them to effectively convey complex information.
  • Advanced Plot Types: Dive into advanced plot types such as histograms, pie charts, and 3D plots, expanding your visualization toolkit.
  • Seaborn Integration: Learn to leverage Seaborn, a statistical data visualization library, in combination with Matplotlib to create aesthetically pleasing and informative visualizations.
  • Geospatial Data Visualization: Explore techniques for visualizing geospatial data using Matplotlib, including maps and geographical plots.
  • Animations: Delve into the creation of animated visualizations, adding a dynamic dimension to your data presentations.
  • Interactive Plots: Understand how to create interactive plots using Matplotlib, allowing users to explore data interactively.
  • Matplotlib and Data Analysis: Integrate Matplotlib seamlessly into data analysis workflows, enhancing the communication of findings through visualizations.
  • Practical Applications: Apply your Matplotlib skills to real-world scenarios and projects, reinforcing your understanding and building a strong foundation for data visualization.

Curriculum

  • 11 Sections
  • 33 Lessons
  • 0 Quizzes
  • 0m Duration
Expand All
Introduction to Matplotlib
3 Lessons0 Quizzes
  1. Overview of Matplotlib and its Applications
  2. Installation and Setup
  3. Anatomy of Matplotlib Figures
Basic Plots in Matplotlib
3 Lessons0 Quizzes
  1. Line Plots
  2. Scatter Plots
  3. Bar Plots and Histograms
Customizing Plots in Matplotlib
3 Lessons0 Quizzes
  1. Color and Style Customization
  2. Adding Annotations and Text
  3. Working with Plot Legends
Subplots and Layouts in Matplotlib
3 Lessons0 Quizzes
  1. Creating Subplots
  2. Adjusting Layouts
  3. Combining Multiple Plots
Advanced Plot Types in Matplotlib
3 Lessons0 Quizzes
  1. Pie Charts
  2. 3D Plots
  3. Box Plots and Violin Plots
Seaborn Integration with Matplotlib
3 Lessons0 Quizzes
  1. Introduction to Seaborn
  2. Enhancing Plots with Seaborn
  3. Combining Matplotlib and Seaborn
Geospatial Data Visualization in Matplotlib
3 Lessons0 Quizzes
  1. Basics of Geospatial Data
  2. Creating Maps with Matplotlib
  3. Visualizing Geographical Data
Animations in Matplotlib
3 Lessons0 Quizzes
  1. Creating Animated Plots
  2. Customizing Animation Properties
  3. Adding Interactivity to Animations
Interactive Plots with Matplotlib
3 Lessons0 Quizzes
  1. Introduction to Interactive Plots
  2. Creating Interactive Visualizations
  3. Customizing Interactive Features
Matplotlib and Data Analysis
3 Lessons0 Quizzes
  1. Integrating Matplotlib into Data Analysis Workflows
  2. Visualizing Analytical Findings
  3. Best Practices in Data Visualization
Practical Applications
3 Lessons0 Quizzes
  1. Applying Matplotlib to Real-World Projects
  2. Building a Portfolio of Matplotlib Visualizations
  3. Showcasing Your Matplotlib Skills

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