Writing Efficient Code with pandas

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Data scientists must be able work with large data sets efficiently and extract valuable information. When working with small amounts data, we often underestimate the speed at which code can be executed. This course will increase your Python knowledge as well as teach you how to make pandas faster by using its built-in functions. Pandas' functions are easy to use for simple tasks such as targeting entries and features. You can also apply functions to multiple entries faster than Python's standard methods. This course will teach you how to efficiently and quickly process large data sets, use functions based on feature values to apply them, and manipulate data from different groups. These techniques can be applied to real-world datasets like restaurant tips and poker hands.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with pandas

What You Will Learn

This course will build on your knowledge of Python and the pandas library and introduce you to efficient built-in pandas functions to perform tasks faster

Learn efficient techniques in pandas to optimize your Python code

Course Instructors

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Leonidas Souliotis

PhD @ University of Warwick

Leonidas Souliotis is a PhD student at the University of Warwick, UK. His research interests lie in the field of bioinformatics, machine learning, and deep learning. Before that, he completed his MSc...

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