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!

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 themost 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 willteach you Data Visualization with Python 3, Jupyter, NumPy, and Matplotlib.

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

Withover 85 lecturesand 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!

Bu kurs kimler için uygun:

• Data Scientists, Data Analysts, and Data Engineers
• Mathematicians, Statisticians, Scientists, and Engineers
• Image Processing and Computer Vision Professionals
• Machine Learning and AI Professionals
• Bioinformatics and Biostatistics professionals
• Programmers and Developers
• Students, Job seekers, anyone wanting to learn new stuff

Course 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

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