Data Visualization with Python 3 and Leather
Windows PC/ Raspberry Pi with Internet Connection
Zeal and enthusiasm to learn new things
a burning desire to take your career to the next level
Basic Programming and Python Programming Basics
Become a Master in Data Visualization with Python 3 and acquire employers’ one of the most requested skills of 21st Century! An expert level Data Science Professional can earn minimum $100000 (that’s five zeros after 1) in today’s economy.
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 Leather with Python 3, this course is for you! In this course we will teach you Data Visualization with Python 3, Jupyter, and Leather .
(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)
With over 30 lectures and over 3.5 hours of videos, this comprehensive course leaves no stone unturned in teaching you Data Visualization with Python 3 and Leather!
This course will teach you Data Visualization in a very practical manner, with every lecture comes a 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, Jupyter, and Leather installed on your Windows computer and Raspberry Pi.
We cover a wide variety of topics, including:
- Installation of Python 3 on Windows
- Setting up Raspberry Pi
- Tour of Python 3 environment on Raspberry Pi
- Jupyter installation and basics
- Data Visualization with Leather
You will get lifetime access to over 30 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures!
So what are you waiting for? Learn Data Science 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 Science Professionals: Data Scientists and Data Engineers
- Scientists, Mathematicians, Physicists, and Engineers
- Developers and Programmers
- Managers and Business Professionals
- Anyone who wants to learn