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Analyzing business data points with greater precision, efficiency, and speed Key Features -Exposure to work on large datasets, data mining techniques, and SAS built-in functions. -Exciting examples and a step-by-step guide to the entire field of business analytics. -Additional support of sophisticated SQL queries and the creation of strong visualization reports. Description This book teaches readers how to properly use SAS (R) Studio to enhance business analytics summaries and graphical reports to make more informed business decisions. Since the examples in the book are laid out in a logical sequence, no prior knowledge is required to get started with implementing what you learn in them. The book begins with configuring your SAS® OnDemand instance, complete with sample datasets and scripts. The book explains programming syntaxes before delving into sophisticated programming principles for managing data values and concludes with creating graphical reports for business data values. It explores how to implement datasets, read external files, execute conditional statements, loops, formats, text, date, numeric functions, and arrays. The book also helps writing SQL Statements such as joins, sets, index, views, etc. with Proc SQL, Univariate (PROC MEAN, PROC FREQ), Multivariate (PROC FREQ), and Design Graphs with the help of PROC SGPLOT. After reading this book, readers will be able to evaluate business data values and create excellent visualizations that will assist enterprises in making more informed business decisions. Readers will become confident to use SAS Studio's rich interface and develop analytical programs. What you will learn -Configuring Online SAS® OnDemand for Academics. -Writing BASE SAS Programming, and writing conditional, looping-based programs. -Implementing SAS built-in text, date, numeric functions, and reading external data files. -Using the SQL Statement with PROC SQL Processing. -Plotting attractive data visualization using PROC SGPLOT. -End-to-end case study on Employee Skill Development’s Data Analytics and Visualization. Who this book is for This book is for those who wish to learn how to use SAS Studio's rich interface and develop an analytical program that helps make better decisions. Having a basic understanding of how data analytics works helps. Table of Contents 1. Introducing SAS Environment 2. Starting with SAS Programming 3. Data Mining and Storage Techniques in SAS 4. Controlling the Program Flow in SAS 5. Using SAS Built-In Functions 6. Working with Advanced Data Input Techniques 7. Getting Started with SQL Processing in SAS 8. Managing Database Tables in SAS 9. Working with Dataset in SAS 10. Data Visualization and Macro Programming with SAS 11. Case Study
Learn to identify the implementation of Discrete Structure and Theory of Automata in a myriad of applications used in day to day life Key Features Learn how to write an argument using logical notation and decide if the argument is valid or not valid. Learn how to use the concept of different data structures (stacks, queues, sorting concept, etc.) in the computer science field. Learn how to use Automata Machines like FSM, Pushdown automata, Turing machine, etc. in various applications related to computer science through suitable practical illustration. Learn how to implement the finite state machine using JFLAP (Java Formal Languages and Automata Package). Description This book's purpose is to provide a modern and comprehensive introduction to the subject of Discrete Structures and Automata Theory. Discrete structures, also called Discrete Mathematics, are an exciting and active subject, particularly due to its extreme relevance to both Mathematics and Computer Science and Algorithms. This subject forms a common foundation for rigorous Mathematical, Logical Reasoning and Proofs, as well as a formal introduction to abstract objects that are essential tools in an assortment of applications and effective computer implementations. Computing skills are now an integral part of almost all the Scientific fields, and students are very enthusiastic about being able to harness the full computing power of these tools. Further, this book also deep dives into the Automata Theory with various examples that illustrate the basic concepts and is substantiated with multiple diagrams. The book's vital feature is that it contains the practical implementation of the Automata Machine example through the JFLAP Tool. Courses on Discrete Structures and Automata theory are offered at most universities and colleges. What will you learn Understand the basic concepts of Sets and operations in Sets. Demonstrate different traversal techniques for Trees and Graphs. Deep dive into the concept of Mathematical Induction, Sets, Relations, Functions, Recursion, Graphs, Trees, Boolean Algebra, and Proof techniques. Understand the concept of Automata Machines in day to day life like the Elevator, Turnstile, Genetic Algorithms, Traffic lights, etc. Use the JFLAP tool to solve the various exercise problems related to automata theory. Who this book is for This book is a must-read to everyone interested in improving their concepts regarding Discrete Structure and Automata Theory. Table of Contents 1. Set Theory 2. Relations and Functions 3. Graph Theory 4. Trees 5. Algebraic Structure 6. Recursion and Recurrence Relations 7. Sorting 8. Queues 9. Introduction 10. Finite Automata Theory 11. Theory of Machines 12. Regular Language 13. Grammar 14. Pushdown Automata 15. Cellular Automata 16. Turning Machine 17. Problems Solving Using JFLAP Tool 18. Revision Questions About The Authors Dr. UMESH SEHGAL completed his Ph.D.,M.Phil. Computer Science and MCA. He held academic positions at the GNA University as an A.P in FCS Department. He has achieved the Best Educationist Award in 2017.He has achieved the Indira Gandhi Education Excellence Award in 2017.He has achieved the Best Researcher Award in 2018-19. SUKHPREET KAUR GILL received the M.Tech. degree in Computer Science and Engineering from Guru Nanak Dev Engineering College, Ludhiana. She is currently working as Assistant Professor at GNA University Phagwara. She has achieved the Bright Educator Award 2019. She has published several articles in leading International and National Computer science journals.