Description

There era of Microsoft Excel is going to be over, so would you like to learn the next generation one of the most powerful data processing tool and in demand skill required for data analyst, data scientist and data engineer.

Then this course is for you, welcome to the course on data analysis with python’s most powerful data processing library Pandas.

Why this course?

Data scientist is one of the hottest skill of 21st century and many organisation are switching their project from Excel to Pandas the advanced Data analysis tool .

This course is basically design to get you started with Pandas library at beginner level, covering majority of important concepts of data processing data analysis and a Pandas library and make you feel confident about data processing task with Pandas at advanced level.

What is this course?

This course covers

Basics of Pandas library
Python crash course for any of you want refresh basic concept of python
Python anaconda and Pandas installation
Detail understanding about two important data structure available in a Pandas library
Series data type
Data frame data type
How you can group the data for better analysis
How to use Pandas for text processing
How to visualize the data with Pandas inbuilt visualization tool
Multilevel index in Pandas.
Numerical Python : NumPy Library

You will following after enrolling in this course.

80+ HD (1080p) video lecture
11+ hours of content
Discussion forum to resolve your query.
quizzes to to test your understanding

This course is still in a draft mode. I am still adding more and more content, quiz, projects related to data processing with different functionalities of Pandas. So stay tuned and enroll now.
Who this course is for:

Beginner Python developer who is curious about Data Science, Not for experienced Data Scientist
Anyone who want to make career in Data Science, Data analytics
Anyone wants to learn data analysis with python language
Excel user who wants to enhance data analysis skills.

Requirements

Windows/Linux/MAC machine
Basic idea about Programming concepts

Last updated 4/2019