FlexStack: Python Data Modeling and Visualization 2 - The Matplot Thickens

  • Overview
  • Course Content
  • Requirements & Materials
Overview

FlexStack: Python Data Modeling and Visualization 2 - The Matplot Thickens

Course Description

The second course in the FlexStack: Python Data Modeling and Visualization Certificate focuses on teaching participants how to transforms lines of data into useful visualizations with Matplotlib, a Python library used for data visualization. Participants will learn how to create and modify various plots, enhance visuals with custom styles, and determine which graphics complement specific data sets. The curriculum will also cover how to combine multiple plots for complex visualizations to gain deeper insights. Through the practical assignments, learners will gain a better understanding of Matplotlib. This includes discovering how to leverage its core components along with applying customization techniques to create effective visualizations, analyze data sets, evaluate plotting techniques, and interpret visual information.

Course Content
  • Basics of Matplotlib
  • Creating and modifying various plots
  • Enhancing plot visuals with custom styles
  • Selecting the best plots for different data sets
  • Combining multiple plots for complex visualizations
  • Explaining insights from visual data
  • Integrating Matplotlib with other Python libraries like pandas
  • Understanding Matplotlib’s origin and core components
  • Applying customization techniques
  • Analyzing data sets and evaluating plotting techniques
  • Interpreting visual information to derive insights
 
Requirements & Materials

Prerequisites

Required: Successful completion of the FlexStack: Python Data Developer 2  – Playing with Pandas course.

Materials

Required: Computer, webcam, microphone, and internet access.

Provided: All course materials

Session Details

Who Should Attend

This course is ideal for data analysts, data scientists, and anyone interested in using Python for data visualization. It is beneficial for individuals with Python experience who are Matplotlip beginners as well as individuals with a fundamental understanding of Matplotlib who are interested in enhancing their plotting skills and learning how to integrate with libraries like pandas.

What You Will Learn

  • Basics of Matplotlib plots
  • Creation and modification of various types of plots
  • Custom styles for enhancing plot visuals
  • Plot selection for different data sets
  • Combination of multiple plots for complex visualizations
  • Visual data insights
  • Utilization of other Python libraries (such as pandas) with Matplotlib
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How You Will Benefit

  • Describe the origin of Matplotlib and explain where to use it best.
  • Identify the core components and structure of a Matplotlib plot.
  • Demonstrate how to create basic plots such as line, bar, and scatter plots using Matplotlib.
  • Apply customization techniques to modify plot aesthetics, including colors, labels, and legends.
  • Analyze data sets and select appropriate plot types to effectively visualize the data.
  • Evaluate the effectiveness of different plotting techniques for various types of data presentations.
  • Combine multiple plots and subplots to create meaningful visualizations of complex datasets.
  • Interpret and explain the visual information presented in Matplotlib plots to derive meaningful insights.
  • Integrate Matplotlib with pandas to enhance data visualization capabilities.
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