Carol S. Parke's Essential First Steps to Data Analysis: Scenario-Based Examples Using SPSS provides instruction and guidance on preparing quantitative data sets prior to answering a study's research questions. Such preparation may involve data management and manipulation tasks, data organization, structural changes to the data files, or conducting preliminary analysis. Twelve research-based scenarios are used to present the content. Each scenario tells the "story" of a researcher who thoroughly examined their data and the decisions they made along the way. The scenario begins with a description of the researcher's study and his/her data file(s), then describes the issues the researcher must address, explains why they are important, shows how SPSS was used to address the issues and prepare data, and shares the researcher's reflections and any additional decision-making. Finally, each scenario ends with the researcher's written summary of the procedures and outcomes from the initial data preparation or analysis.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun.
This book is written to enable the reader, who may be a complete stranger to research and statistics, to effectively conduct, read, understand, and intelligently evaluate research studies that employ data analysis methods.
Mining Imperfect Data: Dealing With Contamination and Incomplete Records. Society ofIndustrial and Applier Mathematics. Project Management Institute (2013). A Guide to the Project Management Body of Knowledge (PMBOKGuides), 5thedn.
About the book Julia for Data Analysis teaches you how to handle core data analysis tasks with the Julia programming language.
With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design ...
The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, ...
Qualitative Data Analysis shows that learning how to analyse qualitative data by computer can be fun.
This book provides guidance to readers for how to conduct an integrative review.
This book is a complete introduction to the world of programming, and you don't need any data science knowledge to read it.
The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies.