Data Analytics using Python Visualizations - What You Will Learn

This video tutorial covers popular Python visualization libraries: Matplotlib, Seaborn, and Bouquet. It explores various plot types, including line, scatter, bar charts, and more. Advanced techniques like machine learning, data manipulation, and interactive plots are discussed. The course emphasizes data preparation using Numpy and Pandas, and concludes with a summary of skills acquired.

Which of the following libraries is NOT mentioned as a popular Python visualization library in the course?

• Matplotlib

• Seaborn

• Bokeh

• Plotly

What type of plot is used to display variations of data using color scales?

• Line plot

• Heat map

• Bar chart

• Scatter plot

Which data structure is unique to Bokeh and is used for filtering data?

• Array

• ColumnDataSource

• Series

• DataFrame

What machine learning technique is taught for plotting regression lines?

• Linear Regression

• Neural Networks

• Decision Trees

• Clustering

Which library is primarily used for data generation techniques in the course?

• Seaborn

• Pandas

• Numpy

• Matplotlib