Udemy

Beginners Guide-Data Visualization

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  • 4,670 Students
  • Updated 9/2023
4.4
(19 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 27 Minute(s)
Language
English
Rating
4.4
(19 Ratings)

Course Overview

Beginners Guide-Data Visualization

Data visualization with Matplotlib

Welcome to this Data Visualization course for all. This course will teach you hands-on practice on generating visualizations in python and also intuitively use. matplotlib is the python library used in this lesson. This is a very useful library for creating interesting visualizations. The code syntax is straight forward and there is clear documentation on each and every method so that when you get stuck, you can quickly get support for your problem.

Matplotlib has interesting features that can help programmers generate nice visualizations.

Some examples are Bar charts, Line charts, Pie charts, scatter charts, 3D charts, and interesting interactive data visualizations.,

This basic course in data visualization can help you build your foundation in data visualization while you advance yourself through consistent practices and the use of various datasets.

matplotlib library is a very useful tool for marketers, business analysts, and data analysts to help people generate reports on their data

After taking this course, you should be able to create your own simple visuals that can help you gain insights from various data sources.

To summarize the power of matplotlib, matplot lib is powerful for visualizing and analyzing various datasets especially when you read about the documentation provide.

Course Content

  • 4 section(s)
  • 13 lecture(s)
  • Section 1 Introduction
  • Section 2 Plotting Basics
  • Section 3 Types of Plots
  • Section 4 Bonus

What You’ll Learn

  • Plot data, Visualize simple data, Identify various matplotlib methods, Manipulate basic visuals

Reviews

  • I
    Isaac lamptey
    5.0

    Excellent

  • E
    Eric Opoku
    5.0

    na

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