Python and Pandas Data Science and Visualization

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 has over 135 lectures and 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