Learning R and Python for business school students

By:

Yan, Yuxing

Publication details: Cambridge Scholars Publishing 2023 United KingdomDescription: 672pISBN:

9781527590182

Subject(s):

DDC classification:

519.5 YAN

Summary: This book provides a guide for business school students, individual investors, and business professionals to learn R and Python, two open-source programming languages. It is unique since it allows the reader to learn programming in an "R-assisted learning environment". The book provides 15 weeks' worth of teaching material for the reader.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Jammu General Stacks	Non-fiction	519.5 YAN (Browse shelf(Opens below))	Available		IIMJ-7887

Total holds: 0

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Previous	519.5 WHE Naked statistics: stripping the dread from the data	519.5 WHI Straightforward statistics	519.5 WOL Primer for data analytics and graduate study in statistics	519.5 YAN Learning R and Python for business school students	519.5 YOO Multiple attribute decision making: an introduction	519.502 TIM Applied statistics : business and management research	519.502 YU Statistical methods for mediation, confounding and moderation analysis using R and SAS	Next

Table of Contents Chapter 1 : R Installation and Basics Chapter 2 : Simple Functions using R Chapter 3 : Open Source Data Chapter 4 : Data Input using R Chapter 5 : Simple Data Manipulation using R Chapter 6 : Data Output using R Chapter 7 : Loops and Conditions using R Chapter 8 : Simple Plots and Graphs using R Chapter 9 : Date Variable, Data Frame and List Chapter 10: Matrix Manipulation Chapter 11: String Manipulation using R Chapter 12: Introduction to R Packages Chapter 13: Python, SAS, Zip Data and Google Drive Chapter 14: Python Basics Chapter 15: Python Modules Chapter 16: Data Input using Python Chapter 17: Data Frame and Data Output Chapter 18: Python Loops and Conditions Chapter 19: Simple Data Manipulation using Python Chapter 20: Simple Plots and Graphs using Python Chapter 21: Simple String Manipulations using Python Chapter 22: Project: Types I and II Chapter 23: Project: SEC Filings Chapter 24: Project: Census Data

This book provides a guide for business school students, individual investors, and business professionals to learn R and Python, two open-source programming languages. It is unique since it allows the reader to learn programming in an "R-assisted learning environment". The book provides 15 weeks' worth of teaching material for the reader.

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