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Introduction to Data Visualization in Python 

  • Offered byDataCamp

Introduction to Data Visualization in Python
 at 
DataCamp 
Overview

Duration

4 hours

Total fee

Free

Mode of learning

Online

Schedule type

Self paced

Difficulty level

Intermediate

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Introduction to Data Visualization in Python
 at 
DataCamp 
Highlights

  • Learn complex data visualization techniques using Matplotlib and seaborn
  • Get a broader coverage of the Matplotlib library and an overview of seaborn, a package for statistical graphics.
Details Icon

Introduction to Data Visualization in Python
 at 
DataCamp 
Course details

Skills you will learn
PythonStatisticsData visualization
What are the course deliverables?
  • Learn complex data visualization techniques using Matplotlib and seaborn
  • Get a broader coverage of the Matplotlib library and an overview of seaborn, a package for statistical graphics.
More about this course
  • This course extends your existing Python skills to provide a stronger foundation in data visualization in Python. You:??ll get a broader coverage of the Matplotlib library and an overview of seaborn, a package for statistical graphics. Topics covered include customizing graphics, plotting two-dimensional arrays (like pseudocolor plots, contour plots, and images), statistical graphics (like visualizing distributions and regressions), and working with time series and image data.

Introduction to Data Visualization in Python
 at 
DataCamp 
Curriculum

Customizing plots

Plotting 2D arrays

Statistical plots with Seaborn

Analyzing time series and images

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Introduction to Data Visualization in Python
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