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Introduction to Python Programming for Business and Social Science Applications shows you how to gather and analyze big data sets, and visualize the output, all in one program. Written for those with no programming background, this book will teach you how to use Python for your research and data analysis.
A propos de l'auteur
Frederick Kaefer is an Associate Professor of Information Systems at the Loyola University Chicago Quinlan School of Business. After completing a Bachelors degree in Mathematics and Computer Science, he worked as a mainframe programmer for several years before earning an MBA with concentrations in Finance and Information Systems and a PhD in Management Information Systems. Professor Kaefer has taught computer programming and other information systems courses to business students for over 25 years. In addition to his interest in the Python programming language, Professor Kaefer has taught courses including Data Structures using C, and VBA Programming in MS Office.
Paul Kaefer works as Senior Analytics Engineer at Carrot Health and has instructed two data analytics & visualization bootcamps through Trilogy Education Services. He previously worked for UnitedHealthcare as a Data Scientist. After earning a Bachelor’s degree in Computer Engineering, he earned a Master′s degree in Computational Sciences while leading the Data Analysis Team for the GasDay project, a research lab at Marquette University that works with energy utilities around the United States to forecast natural gas demand. In addition to his interest in the Python programming language, Paul has certifications in the SAS programming and R programming languages, and is building experience using Tableau.
Résumé
Introduction to Python Programming for Business and Social Science Applications shows you how to gather and analyze big data sets, and visualize the output, all in one program. Written for those with no programming background, this book will teach you how to use Python for your research and data analysis.
