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"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh PalMCA,Dip. in Data ScienceRead More...
MCA,Dip. in Data Science
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Embark on a journey into the future with the power of Forecasting and Predictive Analytics. In today's dynamic and fast-paced business landscape, staying ahead requires more than just insights; it demands foresight. Forecasting and Predictive Analytics offer the keys to unlocking the potential of data, transforming it into a strategic advantage. Discover the art and science of anticipating trends, mitigating risks, and making informed decisions through cutting
Embark on a journey into the future with the power of Forecasting and Predictive Analytics. In today's dynamic and fast-paced business landscape, staying ahead requires more than just insights; it demands foresight. Forecasting and Predictive Analytics offer the keys to unlocking the potential of data, transforming it into a strategic advantage. Discover the art and science of anticipating trends, mitigating risks, and making informed decisions through cutting-edge models and advanced analytics.
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,
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.
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