Python Matplotlib Crash Course for Data Visualization (2024)

Python Matplotlib Crash Course for Data Visualization (2024), available at $19.99, has an average rating of 4.83, with 16 lectures, 5 quizzes, based on 6 reviews, and has 467 subscribers.

You will learn about Learn Matplotlib for Data Science and Data Analysis Create interactive visualizations in Python with Matplotlib. Easily create graphs, histograms, bar graphs, etc. Learn Matplotlib from scratch Acquire essential Matplotlib skills for numeric and scientific computing Practice your skills with 50+ exercises This course is ideal for individuals who are Python Libraries Beginners or Get started with Matplotlib or Those who want to learn Matplotlib by doing. This course includes 50+ hands-on exercises It is particularly useful for Python Libraries Beginners or Get started with Matplotlib or Those who want to learn Matplotlib by doing. This course includes 50+ hands-on exercises.

Enroll now: Python Matplotlib Crash Course for Data Visualization (2024)

Summary

Title: Python Matplotlib Crash Course for Data Visualization (2024)

Price: $19.99

Average Rating: 4.83

Number of Lectures: 16

Number of Quizzes: 5

Number of Published Lectures: 16

Number of Published Quizzes: 5

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Matplotlib for Data Science and Data Analysis
Create interactive visualizations in Python with Matplotlib.
Easily create graphs, histograms, bar graphs, etc.
Learn Matplotlib from scratch
Acquire essential Matplotlib skills for numeric and scientific computing
Practice your skills with 50+ exercises

Who Should Attend

Python Libraries Beginners
Get started with Matplotlib
Those who want to learn Matplotlib by doing. This course includes 50+ hands-on exercises

Target Audiences

Python Libraries Beginners
Get started with Matplotlib
Those who want to learn Matplotlib by doing. This course includes 50+ hands-on exercises

Welcome to the Matplotlib Course for Beginners by Studyopedia.

Matplotlib is an open-source plotting library developed by John D. Hunter. Create interactive visualizations in Python with Matplotlib. It is built on NumPy and is one of the most popular libraries for data visualization in Python.

In this tutorial, we will learn how to perform plotting with Python. Visualizations are far better than textual data. Using matplotlib, we can easily create graphs, histograms, bar graphs, etc.

Features

The following are the features of Matplotlib:

Free and open-source Python library
Load and plot the data easily
Easily Make interactive figures that can zoom, pan, update.
Export to various file formats, such as PNG, PDF, SVG, etc.
Use third-party packages built on Matplotlib for plotting, animations, styles, etc.
Create graphs easily, set legends, position titles, plot, etc. with Matplotlib

Course Lessons

Matplotlib – Introduction

Install & Matplotlib

Matplotlib – PyPlot Submodule (Run first Matplotlib program)

Matplotlib – Plotting

Matplotlib – Add Grid Lines

Matplotlib – Add Labels to a Plot

Matplotlib – Plot Titles and Position them

Matplotlib – Add a Legend in a Graph

Matplotlib – Position Legends

Matplotlib – Change the background color of the Legend

Matplotlib – Change the font size of the Legend

Matplotlib – Bar Graph

Matplotlib – Pie Chart

Matplotlib – Line Graph

Matplotlib – Histogram

Matplotlib – Scatter Plot

We have also provided Online Quizzes to polish your Matplotlib skills after completing the lessons.

Hit the Enroll Button!

Course Curriculum

Chapter 1: Matplotlib – Introduction & Setup

Lecture 1: Introduction & Features

Lecture 2: Install & setup Matplotlib

Chapter 2: Matplotlib – Plotting

Lecture 1: PyPlot Submodule (Run first Matplotlib Program)

Lecture 2: Plot a line with DataFrame

Chapter 3: Matplotlib – Grid

Lecture 1: Add Grid Lines to a Plot

Chapter 4: Matplotlib – Plot Settings

Lecture 1: Add Labels to a Plot

Lecture 2: Plot Titles and Position them

Chapter 5: Matplotlib – Legends

Lecture 1: Add a Matplotlib Legend in a Graph

Lecture 2: Position Legends

Lecture 3: Change the background color of the Legend

Lecture 4: Change the font size of the Legend

Chapter 6: Plotting – Data Visualization

Lecture 1: Create a Bar Graph

Lecture 2: Create a Pie Chart

Lecture 3: Create a Line Graph

Lecture 4: Create a Histogram

Lecture 5: Create a Scatter Plot

Instructors

Studyopedia Trainings
Studyopedia Team

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4 stars: 1 votes
5 stars: 5 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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