Rongpeng Li - Essential Statistics for Non-STEM Data Analysts

Get to grips with the statistics and math knowledge needed to enter the world of data science with Python

Rongpeng Li

BIRMINGHAMMUMBAI

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Rongpeng Li is a data science instructor and a senior data scientist at Galvanize, Inc. He has previously been a research programmer at Information Sciences Institute, working on knowledge graphs and artificial intelligence. He has also been the host and organizer of the Data Analysis Workshop Designed for Non-STEM Busy Professionals at LA.

Michael Hansen (https://www.linkedin.com/in/michael-n-hansen/), a friend of mine, provided invaluable English language editing suggestions for this book. Michael has great attention to detail, which made him a great language reviewer. Thank you, Michael!

James Mott, PhD, is a senior education consultant with extensive experience in teaching statistical analysis, modeling, data mining, and predictive analytics. He has over 30 years of experience using SPSS products in his own research, including IBM SPSS Statistics, IBM SPSS Modeler, and IBM SPSS Amos. He has also been actively teaching about these products to IBM/SPSS customers for over 30 years. In addition, he is an experienced historian with expertise in the research and teaching of 20th century United States political history and quantitative methods. His specialties are data mining, quantitative methods, statistical analysis, teaching, and consulting.

Yidan Pan obtained her PhD in system, synthetic, and physical biology from Rice University. Her research interest is profiling mutagenesis at genomic and transcriptional levels with molecular biology wet labs, bioinformatics, statistical analysis, and machine learning models. She believes that this book will give its readers a lot of practical skills for data analysis.

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