Practical Data Science with R (Zumel Nina)(Paperback)

Practical Data Science with R (Zumel Nina)(Paperback)

Summary Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully

Data Science for Business With R (Saltz Jeffrey S.)(Paperback / softback)

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline

Practical Data Science with Python 3: Synthesizing Actionable Insights from Data (Varga Ervin)(Paperback)

Chapter 1. Introduction to Data ScienceNo of pages: 10This chapter introduces the reader to data science, and describes the major stages of working with data (collect, explore, preprocess, visualize, predict, and infer knowledge). It sets the common expectations what constitutes a data science

Efficient R Programming: A Practical Guide to Smarter Programming (Gillespie Colin)(Paperback)

There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively--until now. This hands-on book

Survival Analysis Using SAS: A Practical Guide (Allison Paul D.)(Paperback)

Biomedical and social science researchers who want to analyze survival data with SAS will find just what they need with this easy-to-read and comprehensive guide. Teaches many aspects of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical book,

Practical Guide to Exercise Physiology: The Science of Exercise Training and Performance Nutrition (Murray Robert)(Paperback)

Science comes to life with Practical Guide to Exercise Physiology, Second Edition. Taking an application-based approach, supported by vivid medical illustrations, this book provides students and health and fitness professionals with a simple and straightforward way to learn the fundamentals of

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Ismay Chester)(Paperback)

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for

Data Science on AWS: Implementing End-To-End, Continuous AI and Machine Learning Pipelines (Fregly Chris)(Paperback)

With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level up your skills

Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights (Rodrigues Joanne)(Paperback)

This guide shows how to combine data science with social science to gain unprecedented insight into customer behavior, so you can change it. Joanne Rodrigues-Craig bridges the gap between predictive data science and statistical techniques that reveal why important things happen -- why customers buy

Responsible Data Science (Bruce Peter C.)(Paperback)

Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of 'Black box' algorithms that are difficult

Practical Ideas for Teaching Primary Science (Cooke Vivian)(Paperback)

Aimed at trainees and teachers, this up to date text addresses primary science teaching in light of the new primary National Curriculum and the latest Teachers' Standards, providing creative, inspiring and practical ideas and approaches for teaching the full range of science topics

Practical Python Data Visualization: A Fast Track Approach to Learning Data Visualization with Python (Pajankar Ashwin)(Paperback)

Chapter 1: Data Visualization with LeatherChapter Goal: Introduce readers to the data visualization with a simple library leatherNo of pages: 15Sub - Topics: 1. Introduction to leather2. Installation to leather3. Various types of graphs with leatherChapter 2: Introduction to the Scientific Python

Practical Management Science (Winston Wayne L.)(Pevná vazba)

Learn to take full advantage of the power of spreadsheet modeling with PRACTICAL MANAGEMENT SCIENCE, 6E, geared entirely to Excel 2016. This edition uses an active-learning approach and realistic problems with the right amount of theory to ensure you establish a strong foundation. Exercises offer

A Hands-On Introduction to Data Science (Shah Chirag)(Pevná vazba)

This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm

Handling Qualitative Data: A Practical Guide (Richards Lyn)(Paperback)

Starting with what's special about qualitative data, this book covers more than simply data collection. It guides you through skilfully, thoughtfully, and ethically designing a project, managing data, exploring records, creating and justifying sound theories, and reporting results in ways that will

Qualitative Data Analysis: Practical Strategies (Bazeley Pat)(Paperback)

Balancing theoretical foundations with practical strategies, this book helps you develop an approach to your qualitative analysis that is both systematic and insightful. It demonstrates the importance of tying analysis into every aspect of research, from design, through data collection and

Applied Social Psychology (Steg Linda)(Paperback)

Applied Social Psychology combines the science of social psychology with the practical application of solving social problems that exist in the real world. This exciting textbook provides a thorough explanation of how social psychologists can contribute to the understanding and management of

Data Analysis with Mplus (Geiser Christian)(Paperback)

A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to

Higher Superstition: The Academic Left and Its Quarrels with Science (Gross Paul R.)(Paperback)

The widely acclaimed response to the postmodernists attacks on science, with a new afterword.With the emergence of 'cultural studies' and the blurring of once-clear academic boundaries, scholars are turning to subjects far outside their traditional disciplines and areas of expertise. In Higher

Practical Skills in Forensic Science (Langford Alan)(Paperback / softback)

Data Management in R: A Guide for Social Scientists (Elff Martin)(Paperback)

An invaluable, step-by-step guide to data management in R for social science researchers. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and

Geocomputation with R (Lovelace Robin)(Paperback)

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and

Data Analytics with Hadoop: An Introduction for Data Scientists (Bengfort Benjamin)(Paperback)

Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you'll focus on particular

Essential Oils and Aromatherapy Workbook (Lavabre Marcel)(Paperback)

A classic, practical guide to the history, science, and art of aromatherapy, updated throughout with recent research and developments - Details more than 70 essential oils classified by botanical family, with discussions of their specific actions and energetic and spiritual properties - Provides