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Learn how to get you up and running with data analysis and visualization using Pandas

Description

The goal of this course is to make the trainees expert on working with Pandas python libraries. This training will be helping folks to achieve proficiency in introducing the concept of data science with the help of libraries that we will be covering here. This course has been focused on training on Pandas. All the concepts that revolve around these libraries will be detailed very precisely through this course. The sole objective of this course is to enrich the trainees with the entire set of skills that are required to work with these python-based libraries. In this unit, you will get to learn about the basics of these libraries, what it can offer, and what kind of problems could be solved using these libraries. The initial hour in this unit has been given to explain the introduction while the rest of the time has been devoted to explaining the main concepts.

 

Pandas is an open-source, BSD-licensed Python library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. This Python course will get you up and running with using Python for data analysis and visualization. The training will include the following:

 

Installing Jupyter

 

Jupyter Environment

 

Read data using Pandas

 

Series vs Data Frame

 

Basic Operations in Pandas

 

Analyze the imported data

 

Renaming Columns

 

Sorting

 

Filtering Data

 

Filtering Function

 

Read Selective Columns & Rows

 

Who this course is for:

This Pandas and NumPy Tutorial Course is designed for professionals with different backgrounds who are willing to learn data science in simple and easy steps using Python as a programming language. If you are into any kind of data and analytics work on any platform then this course is very useful for you

Managers and seniors should look up to this course as the current market is at its transition stage where you must have a good understanding of data and analysis techniques.

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