Visualizing Data with Python

Overview

A picture is worth a thousand words. We are all familiar with this expression. It especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.

One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. 

In this Visualizing Data with Python course at IBMx, you will learn how to leverage a software tool to visualize data that will also enable you to extract information, better understand the data, and make more effective decisions.

What you will learn

• Present data using some of the data visualization libraries in Python, including Matplotlib, Seaborn, and Folium
• Use basic visualization tools, including area plots, histograms, and bar charts
• Use specialized visualization tools, including pie charts, box plots, scatter plots, and bubble plots
• Utilize advanced visualization tools, including waffle charts, word clouds and regression plots
• Plot data on maps and visualize geospatial data