Data science and visualization is employers' one of the most requested skills in the 21st Century! This course teaches you data science and visualization with Python 3. We will mostly use Python 3 libraries like NumPy, Matplotlib, Pandas, Seaborn, and Bokeh for the demonstrations in this course.

The course begins from basics of Python 3 (installation on various platforms including Raspberry Pi). Then we will install Jupyter notebook on various platforms and learn about the Scientific Python Ecosystem in detail.

Then we will learn the basic data science and visualization libraries like NumPy and Matplotlib in detail. We will also learn Pandas and other data visualization like seaborn and Bokeh in brief. This course is a complete package for someone willing to make a career in data science.

The course hasover 135 lecturesand more than 18 hours of videos.

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

• Data Cleaning with Pandas

• Working with Data using Pandas

• Plotting with Pandas

• Pandas visualization with Seaborn and bokeh

Get the lifetime access for over 135 video lectures, corresponding PDFs, and the Jupyter notebooks for the lectures!

So what are you waiting for? Learn Data Science and Visualization with Python 3 and Pandas in a way that will advance your career and increase your knowledge, all in a fun and practical way!