Oreilly – Data Visualization with Matplotlib and Seaborn 2025-4
Oreilly – Data Visualization with Matplotlib and Seaborn 2025-4 Downloadly IRSpace
Data Visualization with Matplotlib and Seaborn. This course teaches you how to create engaging, informative charts using these Python libraries. Designed for data scientists of all levels, this course helps participants extract valuable insights from their data. In this series, experienced data scientist Monica Guimarães walks through the process of creating 2D and 3D charts with Matplotlib and teaches how to use Seaborn to design effective visual displays. Participants will develop their skills in transforming data into meaningful images by following practical examples, such as analyzing data from a bike rental company and data from the U.S. Census Bureau. Based on practical projects from Manning Publishing, this course allows learners to learn and apply professional data visualization techniques in a Python environment.
What you will learn:
- Create 2D and 3D charts using Matplotlib to visualize data.
- Use Python’s Seaborn library to create visually appealing and statistical charts.
- Extract important business insights from data through visualization.
- Following an expert’s approach to solving data visualization problems.
- Develop skills in fast and creative data visualization using the Python data ecosystem.
- Understand how to choose the right chart type for different types of data.
- Customize charts to improve readability and visual appeal.
- Working with real-world data including bike rental data and the US Census.
Who is this course suitable for?
- Beginner and experienced data scientists who want to improve their data visualization skills.
- Analysts looking for engaging and effective ways to present their findings.
- Developers who want to integrate visualization capabilities into their applications.
- Students and researchers who need to visualize their research data.
- Anyone interested in learning how to create informative and beautiful visualizations with Python.
Course details: Data Visualization with Matplotlib and Seaborn
- Publisher: Oreilly
- Lecturer: Monica Estela Guimaraes , Nimrita Koul
- Training level: Beginner to advanced
- Training duration: 3 hours and 1 minute
Course topics
- LPWV Project 1 Milestone 1
- LPWV Project 1 Milestone 2
- LPWV Project 1 Milestone 3
- LPWV Project 1 Milestone 4
- LPWV Project 2 Milestone 1
- LPWV Project 2 Milestone 2
- LPWV Project 2 Milestone 3
- LPWV Project 2 Milestone 4
- LPWV Project 3 Milestone 1
- LPWV Project 3 Milestone 2
- LPWV Project 3 Milestone 3
- LPWV Project 3 Milestone 4
Course images

Sample course video
Installation Guide
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Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
363 MB
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