Online Courses to Learn Seaborn

Explore 38 data science courses and free resources covering everything you need to know about Seaborn.

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OverviewRelated TrainingCareer Relevance

Overview

Seaborn is a data visualization library for Python built on top of matplotlib. Generally loaded as import seaborn as sns.

Related Training

38 learning opportunities
DataCamp
Intermediate Data Visualization with Seaborn
Chris Moffitt

4 hours

Intermediate

$300

26,256
Python Seaborn Data Visualization Functions
DataCamp
Introduction to Data Visualization with Seaborn
Erin Case

4 hours

Beginner

$300

31,173
Pandas Python Seaborn Data Sets Data Visualization Quantitative Analysis Surveys Variables
Free Data Science Cheat Sheets
DataCamp
Free
Python Seaborn: Statistical Data Visualization
Python Seaborn Data Visualization Statistical Analysis
freeCodeCamp
Free
Data Analysis with Python
Jupyter Matplotlib Microsoft Excel NumPy Pandas Arrays Data Analysis Data Cleaning Data Visualization Databases
Coursera
Exploratory Data Analysis With Python and Pandas
Bassim Eledath

2 hours

Beginner

6,996
Matplotlib NumPy Pandas Python Seaborn Correlation Data Analysis Data Sets Data Visualization Exploratory Data Analysis
DataCamp
Exploring and Analyzing Data in Python
George Boorman and Izzy Weber

4 hours
Python Seaborn Correlation Data Analysis Data Cleaning Data Science Data Sets
DataCamp
Introduction to Python in Power BI
Jacob Marquez

3 hours

Beginner
Power BI Python Seaborn Business Intelligence Classification Correlation Data Processing Data Sets
Codecademy
Learn Data Visualization with Python

6 hours

$240
Matplotlib Python Seaborn Data Analysis Data Visualization Statistical Analysis
Dataquest
Storytelling Through Data Visualization
Matplotlib Python Seaborn Data Sets Data Visualization
DataCamp
Working with Categorical Data in Python
Kasey Jones

4 hours

$300

63
Pandas Python Seaborn Algorithms Data Sets Data Types Data Visualization Machine Learning
Coursera
University of Illinois at Urbana-Champaign
Free
Accounting Data Analytics with Python

32 hours

Intermediate

8,090
Jupyter Matplotlib Microsoft Excel NumPy Pandas Arrays Automation Big Data Data Analysis Data Analytics
edX
Delft University of Technology
Free
AI Skills for Engineers: Data Engineering and Data Pipelines
Christoph Lofi and Junzi Sun

6 weeks, 6 hours/week

Beginner
Jupyter Microsoft Excel Pandas Python SQL Algorithms Artificial Intelligence Data Modeling Data Pipelines Data Visualization
DataCamp
Analyzing US Census Data in Python
Lee Hachadoorian

5 hours

$300

2,939
Pandas Python Seaborn APIs Data Analysis Data Visualization Exploratory Data Analysis Healthcare Analytics
YouTube
DataKwery
Free
Building Your First Regression Model in Python with Scikit-learn
Alex Chisholm and David Svancer

1 hours

Beginner
Matplotlib Python Seaborn scikit-learn Correlation Data Modeling Data Visualization Machine Learning Regression
Coursera
University of Illinois at Urbana-Champaign
Free
Data Analytics Foundations for Accountancy I

66 hours

6,500
Jupyter Linux Microsoft Excel NumPy Pandas Arrays Big Data Correlation Data Analysis Data Analytics
Data Science Bootcamps
BrainStation
Data Science Bootcamp

$15,000
Amazon Web Services Anaconda Git Github Hadoop APIs Agile Methodologies Algorithms Automation Big Data
Kaggle
Free
Data Visualization
Alexis Cook

4 hours
Python Seaborn Data Sets Data Visualization Distributions Variables
Coursera
IBM
Free
Data Visualization with Python

17 hours

Intermediate

137,537
Matplotlib Pandas Plotly Python Seaborn Big Data Dashboards Data Analysis Data Science Data Sets
Coursera
University of Michigan
Free
Fitting Statistical Models to Data with Python

16 hours

Intermediate

25,005
Jupyter Pandas Python Seaborn Bayesian Statistics Data Analysis Data Modeling Data Sets Data Visualization
DataCamp
Importing and Managing Financial Data in Python
Stefan Jansen

5 hours

$300

28,930
Microsoft Excel Pandas Python Seaborn Data Analysis Data Sets Data Visualization Distributions Finance Analytics
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Career Relevance

Seaborn is most likely to appear on Data Scientist job descriptions where we found it mentioned 0.9 percent of the time.

1. Data Scientist
0.9%
2. Data Engineer
0.2%
3. Data Analyst
0.2%

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