Pandas & Seaborn Data Science & Visualization course

Learn to acquire Data with NumPy and Pandas and visualize it with Matplotlib and Seaborn

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

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 Professional can earn minimum $100000 (that's five zeros after 1) in today's economy.

This is themost 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 willteach 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)

Withover 105 lecturesand more than 15.5 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

• MySQLand 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 105 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!