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  3. Seaborn: Visualizing Basics to Advanced Statistical Plots

Seaborn: Visualizing Basics to Advanced Statistical Plots

This course teaches Seaborn, a Python library for creating statistical plots, helping you visualize data distributions, relationships, and patterns with both basic and advanced techniques.

Caio Avelino
Caio Avelino
Data Science | intermediate | 1 hour |   Published: Jan 2025
In partnership with:  Coursera

    Discussions

Overview

1KSTUDENTS*
98.8RECOMMEND*

This course includes:

  • 1 hour of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

Data visualization helps effectively explore and communicate insights from data. Seaborn, a Python library built on Matplotlib, enables the creation of attractive statistical plots. This course covers both basic and advanced visualizations to help convey complex data confidently.

Participants will learn to leverage Seaborn for visualizing data distributions, relationships, and patterns, enhancing their ability to communicate data insights visually.

A basic understanding of Python programming and data visualization is required. Familiarity with Pandas and introductory Matplotlib will help learners quickly grasp Seaborn's functionalities.

By the end of the course, learners will understand the role of data visualization, create basic plots, explore advanced statistical visualizations, and customize Seaborn plots for clear, impactful data communication.

Skills You Will Gain

Customization
Exploratory Data Analysis
Data Visualization
Statistical Plots
Seaborn

Learning Outcomes (At the end of this program you will be able to)

  • Explain the importance of data visualization in data analysis and interpretation.
  • Create basic plots using Seaborn to visualize data distributions and relationships.
  • Utilize advanced statistical plots in Seaborn for in-depth data analysis and exploration.
  • Customize and enhance Seaborn visualizations to effectively communicate insights from data. 

Prerequisites

Participants should have a basic understanding of Python programming and fundamental data visualization concepts before enrolling in this course. Familiarity with Python's data manipulation libraries such as Pandas, and an introductory knowledge of Matplotlib, will be beneficial. This foundational knowledge will enable learners to quickly grasp Seaborn's functionalities and apply them effectively in their data visualization tasks.

Who Should Attend

This course includes:

  • 1 hour of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

Curriculum

Instructors

Frequently Asked Questions

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: Comprehending Data Visualization
2Module 2: Introduction to Seaborn
3Module 3: Advanced Seaborn Plots

Segment 08: Exploring Relationships with Seaborn

Segment 09: Advanced Statistical Visualization Techniques

Segment 10: Customizing Seaborn Plots

Segment 11: Congratulations and Continuous Learning Journey

Caio Avelino

Caio Avelino

Caio is an experienced instructor on our platform, bringing a wealth of expertise in data science, machine learning, and related fields. With a background in electrical engineering and extensive hands-on experience in data analysis, he has developed a deep understanding of business intelligence, data science, and artificial intelligence. His passion for continuous learning and problem-solving is evident in his active involvement in courses and projects that expand his knowledge and skill set.

Caio has a proven track record of success in dynamic environments, ranging from startups to established companies, where he has sharpened his skills in project management, data analysis, and team leadership. As the Head of Data at a leading e-commerce company, he leads data science initiatives, develops algorithms, and utilizes tools like Databricks for machine learning applications.

In addition to his industry experience, Caio has served as an instructor on platforms such as Coursera and Udemy, showcasing his commitment to education and knowledge sharing. He holds certifications in data engineering and real-time analytics and is proficient in key programming languages like SQL and Python. Through his comprehensive training programs, Caio equips aspiring data professionals with the tools and insights they need to succeed. His dedication to mentorship and empowering others aligns seamlessly with our platform’s mission to deliver high-quality education in data science and related disciplines.

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Segment 01: Introduction to the Course & Meet Your Instructor

Segment 02: Introduction to Data Visualization

Segment 03: Data Visualization Principles

Segment 04: Data Visualization Charts

Segment 05: Getting Started with Seaborn

Segment 06: Basic Plot Types in Seaborn

Segment 07: Visualizing Data Distributions