Complete Python & Matplotlib Data Visualization

Learn Python 3 Data Visualization: Jupyter, NumPy, and Matplotlib in a single course, Create awesome visualizations

4.00 (48 reviews)
Udemy
platform
English
language
Programming Languages
category
614
students
10 hours
content
Jul 2022
last update
$19.99
regular price

What you will learn

Prepare excellent Visualizations

Publications and Printing quality Visualizations

3D Visualizations

Image Processing with NumPy and Matplotlib

Add Matplotlib and NumPy in resume

Appear for interviews confidently

Description

Become a Master in Data Visualization with Python 3 and acquire employers' one of the most requested skills of 21st Century! A great data visualization engineer earns more than $150000 per year!

This is the most comprehensive, yet straight-forward course for the Data Visualization with Python 3 on Udemy! Whether you have never worked with Data Visualization before, already know basics of Python, or want to learn the advanced features of matplotlib and NumPy with Python 3, this course is for you! In this course we will teach you Data Visualization with Python 3, Jupyter, NumPy, and Matplotlib. 

(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)

With over 85 lectures and more than 10 hours of video this comprehensive course leaves no stone unturned in teaching you Data Visualization with Python 3!

This course will teach you Data Visualization in a very practical manner, with every lecture comes a full programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!

We will start by helping you get Python3, NumPy, matplotlib, and Jupyter installed on your Windows computer and Raspberry Pi.

We cover a wide variety of topics, including:

  • Basics of Scientific Python Ecosystem

  • Basics of Digital Image Processing

  • Basics of NumPy and Matplotlib

  • Installation of Python 3 on Windows

  • Setting up Raspberry Pi

  • Tour of Python 3 environment on Raspberry Pi

  • Jupyter installation and basics

  • NumPy Ndarrays

  • Array Creation Routines

  • Basic Visualization with Matplotlib

  • Ndarray Manipulation

  • Random Array Generation

  • Bitwise Operations

  • Statistical Functions

  • Plotting with Matplotlib

  • Other types of visualizations (bar, histograms, scatter, and bubble)

  • Contours

  • 3D Visualizations (plot, mesh,  and surfaces)

  • Advanced Concepts in Matplotlib

  • Basics Image Processing with NumPy and Matplotlib

  • and much more.....

You will get lifetime access to over 75 lectures plus corresponding PDFs, Image Datasets, and the Jupyter notebooks for the lectures! 

So what are you waiting for? Learn Data Visualization with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Content

Introduction

Objectives, Expected Audience, and Prerequisites of the course
Course Contents and Topics Overview
Please do leave your feedback
Scientific Python 3 Ecosystem
What is Matplotlib?
PDF of URLs of projects in the Scientific Python 3 Ecosystem

Python 3 On Windows

Install Python 3 on Windows
Verify Python 3 Environment On Windows

Raspberry Pi and Python 3

What is Raspberry Pi
Unboxing of Raspberry Pi
PDF for URLs of all the softwares used for Raspberry Pi Setup
Raspberry Pi Raspbian OS Setup Part 1
Raspberry Pi Raspbian OS Setup Part 2
Remote Desktop with VNC
Linux Commands used in the course
Install IDLE3 on Raspberry Pi Raspbian
Python 3 on Raspberry Pi

Python 3 Basics

Hello World! on Windows PC
Hello World! on Raspberry Pi
Interpreter Vs Script Mode of Python 3
A brief Tour of IDLE
Raspberry Pi Vs PC: What platform to choose

Python Package Index and pip

Python Package Index and pip
pip on Windows
pip on Raspberry Pi

Installation of NumPy and Matplotlib

Install NumPy and Matplotlib on Windows
Install NumPy and Matplotlib on Raspberry Pi

Jupyter Notebook for Scientific Computing

Jupyter and IPython
Install Jupyter on Windows PC
Install Jupyter on Raspberry Pi
Install PuTTY on Windows PC
Remote Connection to Remote Notebook Server
A brief tour of Jupyter
List of commands used in this section

Getting Started with NumPy

What is NumPy
Ndarrays, Indexing, and Slicing
Ndarray Properties
NumPy Constants
NumPy Datatypes

Creation of Arrays and Matplotlib Visualizations

Ones and Zeros
Matrices
Numerical Ranges and Visualizations

Random Sampling

Random Sampling

Array Manipulation

Array Manipulation

Bitwise Operations

Bitwise Operations

Statistical Functions

Statistical Functions

Plotting in detail

Single Line Plots
Multi-line Plots
Grid Axes and Labels
Colors, Styles, and Marker

More Types of Visualizations

Histograms and XKCD
Bar Chart and Visualizing Errors
Pie and Scatter
Stream Plots and Visualizing Vectors
Fill Between and Stacked Column
Contours
Step Plots
Horizontal Bar Plots
Hexbin Visualizations
Polar Visualizations

Object Oriented Programming Style and Subplots

Object Oriented Programming Style and Subplots

NumPy, Matplotlib, and Image Processing

What is Digital Image Processing?
Image Datasets
Installing Pillow on Windows and Raspberry Pi
Reading, displaying, and saving images with Matplotlib
NumPy for Images
Image Statistics
Image Masks
Image Channels
Arithmetic Operations
Logical Operations
Histogram with NumPy and Matplotlib

3D Visualizations

3D Plotting
3D Meshgrid
3D Surfaces

Advanced Concepts in Matplotlib

Stacked Area plots
Colormaps
Colorbar
Interpolation Methods

Shapes Shapes

Shapes Shapes

Matplotlib Animation

Matplotlib Animation

Visualize Audio with Matplotlib

What is SciPy
Install SciPy on Windows
Install SciPy on Raspberry Pi
Visualize Audio with Matplotlib
Spectogram

Downloadable Code Bundle

Downloadable Code Bundle
BONUS LECTURE

Screenshots

Complete Python & Matplotlib Data Visualization - Screenshot_01Complete Python & Matplotlib Data Visualization - Screenshot_02Complete Python & Matplotlib Data Visualization - Screenshot_03Complete Python & Matplotlib Data Visualization - Screenshot_04

Reviews

Sachin
July 14, 2020
Course was good, it covered matplotlib to good extent. Raspberry Pi should does not fit in this course.
Victor
June 6, 2020
El instructor conoce mucho el tema, pero lo que es un poco confuso es al momento de transferir los conocimientos pues no es muy claro, además de que al usar los subtitiulos en inglés no concuerda con lo que dice el profesor. También sugeriria que en un futuro se agreguen ejercicios para mejorar la asimilación de los temas.
Martin
January 6, 2019
Trivial content. No insight or discussion. I would be less harsh if it was not called 'masterclass', it's a super-basic intro. More interesting to learn by trial and error and reading APIs and exploring freely available examples.
Matthew
December 20, 2018
Overall the course was okay. Course includes plenty of good example code for various plot types. The course lacks somewhat in providing depth of understanding.
Maureen
November 17, 2018
The course begins with basics and continues to teach the basics in detail for first four hours. The course is an absolute gift for the beginners as it leaves no stone unturned to teach everything to get ready for Data Visualization.

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1992478
udemy ID
10/27/2018
course created date
11/21/2019
course indexed date
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