Data Analytics Essentials

<p>Discover the essentials of data analytics in this comprehensive book covering five units that form the backbone of statistical understanding and application. In Unit I delve into the intricacies of variables for data analytics exploring types of variables differentiating between numerical and categorical variables and understanding nominal and ordinal distinctions. Unit II introduces essential statistics for data analytics encompassing central tendency measurement and variability offering a step-by-step guide to calculate mean median mode quartiles and more. Unit III explores probability in data analytics explaining basic probability concepts sample spaces and conditional probability. Unit IV focuses on distributions analyzing discrete binomial Poisson and continuous distributions along with identifying normal distributions and assessing skewness. Finally Unit V provides hands-on case studies using R offering practical insights into applying vectors data frames probability functions and statistical techniques to real-world scenarios including fraud detection. This book is an indispensable resource for anyone seeking a comprehensive understanding of data analytics and its practical applications using the powerful R programming language.<br/>&nbsp;<br/>&nbsp;<br/>&nbsp;</p>