[ FreeCourseWeb.com ] Pandas - Tips and Tricks



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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz

Language: English | VTT | Size: 966 MB | Duration: 3 hours

What you'll learn

Have a fundamental understanding of the Python Pandas Concepts

Have the skills and understanding of Python Pandas to confidently apply for Python programming jobs

Acquire the pre-requisite Python Pandas skills to move into specific branches - Machine Learning, Data Science, etc

Understand how to perform data analysis in Python using Pandas

Learn Advanced Python concepts to manage,cleaning and reorganizing huge amount of Data using Pandas

Learn about merging and creating pivot tables out of large datasets

Perform various operations among data columns and rows

Learn from experienced professional software developers

Requirements

A computer - Windows, Mac, and Linux are all supported. Setup and installation instructions are included in this program

Your enthusiasm to learn this go-to programming language. It’s a valuable lifetime skill which you can’t un-learn!

You should know Basics understanding of Python and Pandas

Description

Data scientists spend most of their time in searching, managing, cleaning, and reorganizing huge amounts of data as most of them are using tools such as Excel to process their data. If you use a programming language such as Python you can drastically reduce the time it takes for processing your data and make them ready for use in your project.



In this course you will learn various Tricks and Tips used in Python Pandas, to perform data analysis that is effective and full of useful insights. You will learn how Python Pandas package can be used to manage, clean, and organize huge amounts of data and how to extract the data files, load numbers of files, concatenating and joining data from different sources, converting between fields, aggregating, conditioning, and many more data processing operations.



This course assumes you have basic knowledge of Python.



By the end of this course, you will have an advanced understanding of the Pandas library and the knowledge that will help you to move forward and grow as a professional data scientist or analyst.



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