Python for Data Science: Basic Data Visualization Using Seaborn
Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level
Overview/Description
Seaborn is a data visualization library that provides a high-level interface for drawing graphs. These graphs are able to convey a lot of information, while also being visually appealing. Explore Seaborn basic plots and aesthetics.

Expected Duration (hours)
1.1

Lesson Objectives Python for Data Science: Basic Data Visualization Using Seaborn

describe what Seaborn is and how it relates to other data science libraries in Python
install Seaborn and load a dataset for analysis
define and plot the distribution of a single variable using a histogram and kernel density estimate curve
configure an univariate distribution's appearance, including color, size, and the components of the plot
analyze the relationship between two variables by plotting a bivariate distribution
distinguish between scatter plots, hexbin plots, and KDE plots
use the Seaborn pair plot to generate a grid to plot the relationship between multiple pairs of variables in your dataset
perform a regression analysis on a pair of variables in your dataset by using the Seaborn lmplot
describe the basic aesthetic themes and styles available in Seaborn
recall some of the use cases and features of Seaborn

Course Number: it_dspydsdj_05_enus

Expertise Level
Intermediate