What you'll learn

Prepare Awesome Visualizations in Python 3
Publications, Web, and Print quality Visualizations
3D Visualizations
Add MatDescriptionlib, NumPy, seaborn, bokeh, Leather, and Pygal in resume
Appear for Data Science interviews confidently
Learn basics of Data Visualization

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 Advanced Data Visualization with Python 3 and acquire employers' one of the most requested skills of 21st Century! A great data engineer/scientist earns more than $150000 per year in today's market!

This is the most comprehensive, yet straight-forward course for the Advanced 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 matDescriptionlib and seaborn with Python 3, this course is for you! In this course we will teach you Advanced Data Visualization with Python 3, Jupyter, NumPy, MatDescriptionlib, seaborn, pandas, Bokeh, Leather, and Pygal.

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

With over 85 lectures and more than 11 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, matDescriptionlib, 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 MatDescriptionlib

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 MatDescriptionlib

Ndarray Manipulation

Random Array Generation

Bitwise Operations

Statistical Functions

Descriptionting with MatDescriptionlib

Python 3 and MatDescriptionlib Data Visualization Recipes

Seaborn recipes

Seaborn and Pandas

Bokeh

Leather

Pygal

You will get lifetime access to over 75 lectures plus corresponding PDFs 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!
Who this course is for:

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

Screenshots

Citación :

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