Advanced Data Visualization with Matplotlib and Seaborn
Learn withNeha
17 modules
Certificate of completion
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
Certification
When you complete this course you receive a ‘Certificate of Completion’ signed and addressed personally by me.
FAQs
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How can I access the course materials?
Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.
Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
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