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Seaborn with Python: Data Visualization for Beginners
Coursera
Course
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Seaborn with Python: Data Visualization for Beginners

EDUCBA

Introduces Seaborn for statistical data visualization in Python, guiding from basic relational plots to advanced categorical visualizations.

Unknown2 weeksEnglish

About this Course

This beginner-friendly course introduces learners to Seaborn in Python, a powerful library built on Matplotlib for statistical data visualization. Designed with a structured, hands-on approach, the course guides learners from foundational relational plots to advanced categorical and statistical visualizations. In Module 1, students will construct and interpret scatter plots, line plots, and faceted relational charts to analyze trends and relationships in data. Using Bloom’s Taxonomy verbs, lear

What You'll Learn

  • Construct scatter, line, and faceted relational plots
  • Design and interpret box, violin, and bar plots
  • Apply Seaborn figure-level functions for multivariable insights

Prerequisites

  • Basic knowledge of Python programming and introductory statistics

Instructors

E

EDUCBA

Topics

Box Plots
Scatter Plots
Statistical Analysis
NumPy
Data Visualization Software
Matplotlib
Statistical Visualization
Descriptive Statistics
Exploratory Data Analysis
Seaborn

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

مخططات الصندوق
مخططات الانتشار
التحليل الإحصائي
NumPy
برامج تصور البيانات
Matplotlib
التصور الإحصائي
الإحصاء الوصفي
Exploratory Data Analysis
Seaborn

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