Advanced Data Visualization with Matplotlib and Seaborn Copy

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17 modules

Lifetime access

Overview

This course is designed to teach you how to create compelling and insightful visualizations using Matplotlib and Seaborn. By combining these two powerful libraries, you'll be able to generate a wide range of plots and customize them to effectively communicate data insights.

Modules

Module 1: Introduction and Setup

4 attachments • 17.56 mins

1.1 Overview of Matplotlib and Seaborn

1.2 Setting Up the Environment

Matplotlib Tutorial 1

Installing Matplotlib + Getting Started With Matplotlib

Module 2: Advanced Matplotlib Techniques

7 attachments • 29.02 mins

2.1 Customizing Plots

2.2 Creating Complex Plots

2.3 Annotations and Text

2.4 Interactive Plots

Plotting data from lists using Pyplot

Adding labels and legends

How to use different format strings and Styles for Plotting

Module 3: Advanced Seaborn Techniques

8 attachments • 29.58 mins

3.1 Complex Statistical Plots

3.2 Customizing Seaborn Plots

3.3 Plotting Categorical Data

3.4 Plotting Time Series Data

Adding Colors & Fonts

Line Styles and Widths

Adding Multiple plots

How to use Subplots + How to plot vertical Bar charts

Module 4: Integrating Matplotlib and Seaborn

6 attachments • 56.88 mins

4.1 Combining Matplotlib and Seaborn

4.2 Creating Combined Figures

Setting X & Y Axes Limits

Setting up grids in your plots

How to plot Pie Charts using Matplotlib Library

Seaborn Tutorial

Module 5: Interactive Visualizations and Dashboards

5 attachments • 19.39 mins

5.1 Creating Interactive Visualizations

5.2 Creating Dashboards

Saving plots

Scatter Plots

Stack plot_ Area Plot using Matplotlib Library

Module 6: Advanced Plot Customization

4 attachments • 1 hrs

6.1 Custom Plot Types

6.2 Dynamic Data Visualization

Bar Charts

_Python Plotting With Matplotlib

Module 7: Data Handling and Preprocessing

4 attachments • 19.94 mins

7.1 Data Preparation

7.2 Advanced Aggregation

Histograms

Histograms in Matplotlib

Module 8: Specialized Plot Types

4 attachments • 22.58 mins

8.1 Geographic Data Visualization

8.2 Network Graphs

Pie Charts

How To Run Python Programs On Android

Module 9: Performance Optimization

4 attachments • 2 hrs

9.1 Optimizing Rendering

9.2 Efficient Data Handling

Text Annotations

Python Pandas Tutorial

Module 10: Case Studies and Projects

4 attachments • 11.86 mins

10.1 Real-World Data Visualization Projects

10.2 Creating Interactive Dashboards

10.3 Performance Optimization

How To Get Started With the Requests Library in Python

Module 11: Advanced Topics

8 attachments • 1 hrs

11.1 Custom Plot Types

11.2 Dynamic and Live Data Visualization

11.3 Exploring Alternatives and Extensions

Using Style Sheets

How to Create Bar Chart in Python using Matplotlib

How to Plot a Histogram in Python using Matplotlib

How to Create a Stack Plot in Matplotlib with Python

Drawing a Pie Chart using Python Matplotlib

Data Visualization with Matplotlib and Seaborn (Python)

Creating Line Plots

Creating Scatter Plots

Creating Bar Charts

Univariate Analysis Exploring Data Trends and Patterns

Certification on Advanced Data Visualization with Matplotlib & Seaborn

About the creator

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Advanced Data Visualization with Matplotlib and Seaborn Copy

Learn withNeha

17 modules

Lifetime access

Free