Master the art of Python Data Visualization
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15-06-2022, 15:09
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Updated 06/2022
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.23 GB | Duration: 85 lectures • 11h 13m
Updated 06/2022
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.23 GB | Duration: 85 lectures • 11h 13m
Learn Advanced Data Visualization with Python 3, NumPy, Jupyter, Matplotlib, Pandas, Seaborn, Bokeh, Leather, and Pygal
What you'll learn
Prepare Awesome Visualizations in Python 3
Publications, Web, and Print quality Visualizations
3D Visualizations
Add Matplotlib, 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
Data Visualization is one of the most in demand skills in today's job market. A well trained Data Visualization earns at least a six digit remuneration in technology domain. Python 3 is one of the favorite and widely programming languages in the domain of the Data Science.
In this course, we will explore NumPy, Seaborn, Pandas, Bokeh, Leather, and Pygal libraries in Pandas in detail. We will learn how to install and use these libraries in detail. After finishing this course, you will be able to handle any project at your workplace that needs deep knowledge of these libraries.
The course has downloadable PDFs and code files along with the video lectures.
This course has over 85 lectures and more than 11 hours of videos.
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
Python 3 and Matplotlib Data Visualization Recipes
Seaborn recipes
Seaborn and Pandas
Bokeh
Leather
Pygal
You will get lifetime access to over 85 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
Homepage
https://www.udemy.com/course/master-the-art-of-python-data-visualization
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