[ FreeCourseWeb.com ] Advanced Pandas for Data Analytics



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MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Difficulty: Advanced | Genre: eLearning | Language: English | Duration: 5 Lectures (41m) | Size: 203 MB

Description

This course takes a look at some of the lesser-known but highly useful methods that can be used in Pandas for advanced data analytics. We'll explore the methods available to you in Pandas to make your code more efficient through evaluating expressions and conditional iterative statements.



We'll also look at methods for time series and windows operations and how these can be used for analyzing datetime objects.



This is a hands-on course that is full of real-world nstrations in Pandas. If you want to follow along with the course, you can find everything you need in the GitHub repo below.



Learning Objectives

Perform iterative operations in Pandas to make your code more efficient

Learn about evaluation expressions and how to use them

Perform time series data analysis using a variety of methods



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



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