Final Exam: Data Visualization with Python Overview/Description Expected Duration Lesson Objectives Course Number Expertise Level Overview/Description Final Exam: Data Visualization with Python will test your knowledge and application of the topics presented throughout the Data Visualization with Python track of the Skillsoft Aspire Data Visualization Journey.
Expected Duration (hours)
0.0
Lesson Objectives Final Exam: Data Visualization with Python
create a Bokeh chart and save it as an html page and an image
create a figure object with multiple axes objects and create line charts in the axes
create exploded pie charts and treemaps
create maps to visualize geographical data
create various basic line charts visualizing random data using Matplotlib and pyplot
display your visualization inline in a Jupyter notebook
explore Matplotlib interactive back ends
implement a scatter plot
install and import Plotly using Jupyter notebooks
install Matplotlib and explore Matplotlib interactive back ends
interpret relationships using scatter plots
use Jupyter notebooks to install and import Bokeh
use Jupyter notebooks to install and import Plotly
use Matplotlib to create exploded pie charts and treemaps
use Matplotlib to create filled box-and-whisker plots
use Matplotlib to visualize the relationship between two continuous variables using scatter plots
use sunburst charts
visualize a trend of a variable over time using a line chart
visualize hierarchical categories using sunburst charts
visualize statistical data using box-and-whisker plots
Course Number: it_fedvp_04_enus
Expertise Level
Everyone