Matplotlib Data Visualization Masterclass: From Zero to Hero

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 9.5 hours | Size: 4.44 GB

What you’ll 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

Requirements

Basic Knowledge of Computers and Mathematics
A Windows PC/ Raspberry Pi with Internet Connection
Zeal and enthusiasm to Learn
Burning desire to take your career to the next level

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 65 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…..

Who is the target audience?

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

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