Pandas & Seaborn Data Science and Visualization Masterclass

What you'll learn

Understand the Scientific Python Ecosystem
Understand Data Science, Pandas, and Altair
Learn basics of NumPy Fundamentals
Learn Advanced Data Visualization
Learn Data Acquisition Techniques
Linear Algebra and Matrices

Requirements

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
basic mathematics knowledge will be greatly appreciated

Description

Become a Master in Data Acquisition and Visualization with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Data Science 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 Science with Python 3 on Udemy! Whether you have never worked with Data Science before, already know basics of Python, or want to learn the advanced features of Seaborn and Pandas with Python 3, this course is for you! In this course we will teach you Data Science with Python 3, Jupyter, NumPy, Pandas, Matplotlib, and Seaborn.

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

With over 40 lectures and more than 11 hours of video this comprehensive course leaves no stone unturned in teaching you Data Science with Python 3, Pandas, and Seaborn!

This course will teach you Data Science 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, NumPy, matplotlib, Jupyter, Pandas, and Seaborn installed on your Windows computer and Raspberry Pi.

We cover a wide variety of topics, including:

Basics of Scientific Python Ecosystem

Basics of Pandas

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

Basics of Matplotlib

Installation of SciPy and Pandas

Linear Algebra with NumPy and SciPy

Data Acquisition with Python 3

MySQL and Python 3

Data Acquisition with Pandas

Basics of Seaborn

Configuring Charts with Seaborn

Multi-plot Grid

Visualize Linear Relationships

Multi Color Plot

Visualizing the distribution of a dataset

You will get lifetime access to over 40 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures!

This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back.

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
AI and Machine Learning Professionals
Scientists, Mathematicians, Physicists, and Engineers
Python Developers and Programmers
Managers and Business Professionals
Anyone who wants to learn