Data Processing and Analysis in Python

We present to your attention a course on studying Data Processing and Analysis in Python. The course consists of 4 parts and includes 48 lessons with a total duration of more than 15 hours of video.

The first part of the course is dedicated to setting up and working with the environment. Since Pandas is a Python library, you will need to install Python on your computer if you don't already have it. You will also need the Pandas library itself. And here two options will be considered: installing a virtual environment and the necessary libraries from scratch and installing the Anaconda distribution kit, which includes the entire necessary set of libraries.

With the second part of the course, the study of the Pandas library itself will begin . Here we will look at one of the data structures of the Pandas library - Series.

In the third part of the course we will study the key data structure -  DataFrame DataFrame presents data in tabular form, which is very convenient for data analysis. The topics of reading and writing data, data processing, grouping and sorting, various options for combining tabular data, etc. will be covered here.

The last part will be exclusively practicaland here sufficient processing will be shown large volumes of data containing hundreds of thousands and even millions of rows. Also in the last part of the course the topic of data visualization and working with the Matplotlib library will be touched upon.