Mastering Sas Programming For Data Warehousing

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Mastering Sas Programming For Data Warehousing

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Author : Monika Wahi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-10-16

Mastering Sas Programming For Data Warehousing written by Monika Wahi and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-16 with Computers categories.

Build a strong foundation in SAS data warehousing by understanding data transformation code and policy, data stewardship and management, interconnectivity between SAS and other warehousing products, and print and web reporting Key Features Understand how to use SAS macros for standardizing extract, transform, and load (ETL) protocols Develop and use data curation files for effective warehouse management Learn how to develop and manage ETL, policies, and print and web reports that meet user needs Book DescriptionSAS is used for various functions in the development and maintenance of data warehouses, thanks to its reputation of being able to handle ’big data’. This book will help you learn the pros and cons of storing data in SAS. As you progress, you’ll understand how to document and design extract-transform-load (ETL) protocols for SAS processes. Later, you’ll focus on how the use of SAS arrays and macros can help standardize ETL. The book will also help you examine approaches for serving up data using SAS and explore how connecting SAS to other systems can enhance the data warehouse user’s experience. By the end of this data management book, you will have a fundamental understanding of the roles SAS can play in a warehouse environment, and be able to choose wisely when designing your data warehousing processes involving SAS.What you will learn Develop efficient ways to manage data input/output (I/O) in SAS Create and manage extract, transform, and load (ETL) code in SAS Standardize ETL through macro variables, macros, and arrays Identify data warehouse users and ensure their needs are met Design crosswalk and other variables to serve analyst needs Maintain data curation files to improve communication and management Use the output delivery system (ODS) for print and web reporting Connect other products to SAS to optimize storage and reporting Who this book is for This book is for data architects, managers leading data projects, and programmers or developers using SAS who want to effectively maintain a data lake, data mart, or data warehouse.

Biostatistics For Dummies

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Author : Monika Wahi
language : en
Publisher: John Wiley & Sons
Release Date : 2024-06-11

Biostatistics For Dummies written by Monika Wahi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-11 with Medical categories.

Break down biostatistics, make sense of complex concepts, and pass your class If you're taking biostatistics, you may need or want a little extra assistance as you make your way through. Biostatistics For Dummies follows a typical biostatistics course at the college level, helping you understand even the most difficult concepts, so you can get the grade you need. Start at the beginning by learning how to read and understand mathematical equations and conduct clinical research. Then, use your knowledge to analyze and graph your data. This new edition includes more example problems with step-by-step walkthroughs on how to use statistical software to analyze large datasets. Biostatistics For Dummies is your go-to guide for making sense of it all. Review basic statistics and decode mathematical equations Learn how to analyze and graph data from clinical research studies Look for relationships with correlation and regression Use software to properly analyze large datasets Anyone studying in clinical science, public health, pharmaceutical sciences, chemistry, and epidemiology-related fields will want this book to get through that biostatistics course.

Getting Started With Sas Programming

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Author : Ron Cody
language : en
Publisher: SAS Institute
Release Date : 2021-02-24

Getting Started With Sas Programming written by Ron Cody and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-24 with Computers categories.

Get up and running with SAS using Ron Cody’s easy-to-follow, step-by-step guide. Aimed at beginners, Getting Started with SAS Programming: Using SAS Studio in the Cloud uses short examples to teach SAS programming from the basics to more advanced topics in the point-and-click interactive environment of SAS Studio. To begin, you will learn how to register for SAS OnDemand for Academics, an online delivery platform for teaching and learning statistical analysis that provides free access to SAS software via the cloud. The first part of the book shows you how to use SAS Studio built-in tasks to produce a report, summarize data, and create charts and graphs. It also describes how you can perform basic statistical tests using the interactive point-and-click environment. The second part of the book uses easy-to-follow examples to show you how to write your own SAS programs and how to use SAS procedures to perform a variety of tasks. This part of the book also explains how to read data from a variety of sources: text files, Excel workbooks, and CSV files. In order to get familiar with the SAS Studio environment, this book also shows you how to access dozens of interesting data sets that are included with the SAS OnDemand for Academics platform.

Comprehensive Guide To Sas Programming

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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-18

Comprehensive Guide To Sas Programming written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Computers categories.

"Comprehensive Guide to SAS Programming" The "Comprehensive Guide to SAS Programming" stands as the definitive reference for both aspiring and seasoned SAS professionals navigating today's complex analytics landscape. Beginning with a deep examination of SAS architecture—spanning traditional Foundation, Viya, and Grid environments—the book elucidates the system's internal mechanics, metadata management, and integration capabilities. Thoughtfully designed chapters unravel how SAS interacts with databases, APIs, and external systems, emphasizing effective configuration, security, and optimization strategies essential for scalable enterprise deployment. Delving further, the guide offers an in-depth exploration of SAS programming fundamentals and advanced techniques, including data step processing, macro automation, SQL-based workflows, and robust data manipulation methods. Extensive coverage of analytical procedures encompasses everything from routine reporting to sophisticated data mining, machine learning, multivariate analysis, and custom visualization—empowering readers to transform raw data into actionable insights. Practical sections on debugging, performance tuning, hybrid programming (combining SAS with Python, R, and Java), and automated pipelines furnish the technical depth required for building high-performing, maintainable analytics solutions. Rounding out its scope, the book addresses critical topics around data governance, security, and regulatory compliance—providing blueprints for audit trails, lineage, and secure coding in regulated industries. With forward-looking coverage on containerization, cloud-native analytics with SAS Viya, and the integration of AI/ML toolchains, this guide anticipates emerging trends and equips readers to confidently lead modern SAS initiatives. With its systematic organization and real-world best practices, "Comprehensive Guide to SAS Programming" is an indispensable resource for mastering the art and science of enterprise analytics with SAS.

Data Preparation For Analytics Using Sas

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Author : Gerhard Svolba
language : en
Publisher: SAS Institute
Release Date : 2006-11-27

Data Preparation For Analytics Using Sas written by Gerhard Svolba and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-27 with Computers categories.

Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and considerations from a business point of view. The tasks addressed include viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, using various SAS procedures and SAS Enterprise Miner for scoring, creating meaningful derived variables for all data mart types, using powerful SAS macros to make changes among the various data mart structures, and more!

Tree Based Machine Learning Methods In Sas Viya

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Author : Sharad Saxena
language : en
Publisher:
Release Date : 2022-02-21

Tree Based Machine Learning Methods In Sas Viya written by Sharad Saxena and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-21 with Computers categories.

Discover how to build decision trees using SASViya! Tree-Based Machine Learning Methods in SASViya covers everything from using a single tree to more advanced bagging and boosting ensemble methods. The book includes discussions of tree-structured predictive models and the methodology for growing, pruning, and assessing decision trees, forests, and gradient boosted trees. Each chapter introduces a new data concern and then walks you through tweaking the modeling approach, modifying the properties, and changing the hyperparameters, thus building an effective tree-based machine learning model. Along the way, you will gain experience making decision trees, forests, and gradient boosted trees that work for you. By the end of this book, you will know how to: build tree-structured models, including classification trees and regression trees. build tree-based ensemble models, including forest and gradient boosting. run isolation forest and Poisson and Tweedy gradient boosted regression tree models. implement open source in SAS and SAS in open source. use decision trees for exploratory data analysis, dimension reduction, and missing value imputation.

A Handbook Of Statistical Graphics Using Sas Ods

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Author : Geoff Der
language : en
Publisher: CRC Press
Release Date : 2014-08-15

A Handbook Of Statistical Graphics Using Sas Ods written by Geoff Der and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-15 with Mathematics categories.

Easily Use SAS to Produce Your Graphics Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics Using SAS ODS covers essential graphical methods needed in every statistician’s toolkit. It explains how to implement the methods using SAS 9.4. The handbook shows how to use SAS to create many types of statistical graphics for exploring data and diagnosing fitted models. It uses SAS’s newer ODS graphics throughout as this system offers a number of advantages, including ease of use, high quality of results, consistent appearance, and convenient semiautomatic graphs from the statistical procedures. Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. These examples illustrate the use of graphic displays to give an overview of data, to suggest possible hypotheses for testing new data, and to interpret fitted statistical models. The SAS programs and data sets are available online.

Sql For Data Scientists

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Author : Renee M. P. Teate
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-17

Sql For Data Scientists written by Renee M. P. Teate and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-17 with Computers categories.

Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn’t cover SQL broadly. Instead, you’ll learn the subset of SQL skills that data analysts and data scientists use frequently. You’ll also gain practical advice and direction on "how to think about constructing your dataset." Gain an understanding of relational database structure, query design, and SQL syntax Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms Review strategies and approaches so you can design analytical datasets Practice your techniques with the provided database and SQL code In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner’s perspective, moving your data scientist career forward!

Mastering Data Analysis With Python

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Author : Rajender Kumar
language : en
Publisher: Jamba Academy
Release Date : 2023-03-27

Mastering Data Analysis With Python written by Rajender Kumar and has been published by Jamba Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-27 with Computers categories.

Are you tired of feeling like you're stuck in a dead-end job with no room for growth or advancement? Are you ready to take your career to the next level and start making real money? Look no further than "Mastering Data Analysis with Python." This comprehensive guide is designed to teach you the skills you need to become a top-paying data analyst. With a focus on the powerful Python programming language, you'll learn how to collect, clean, and analyze data like a pro. But that's not all - you'll also discover how to use this data to make informed business decisions and drive real results. Key Features: Here's just a taste of what you'll learn in this book: How to use Python's built-in libraries to manipulate and analyze data like a pro Techniques for cleaning and prepping data for analysis Advanced data visualization techniques to help you communicate your findings How to use statistical methods to draw meaningful insights from your data And much more! WHO THIS BOOK IS FOR? Data analysts and scientists who want to learn how to use Python for data analysis Programmers who want to add data analysis skills to their repertoire Anyone interested in exploring and visualizing data using Python Students and professionals looking to improve their data analysis and visualization skills Individuals interested in machine learning and artificial intelligence who need to learn data analysis fundamentals. What other people says: But don't just take our word for it. Here's what some of our readers have had to say: "I've been working as a data analyst for a few years now, but this book taught me so many new techniques that I was able to immediately apply to my job and start making more money." "I've always been interested in data analysis, but I didn't know where to start. This book is the perfect introduction to the field and has helped me land my dream job." "I was able to use the skills I learned in this book to negotiate a raise and make an additional $100,000 per year!" Outcome: Gain proficiency in NumPy, Pandas, and Matplotlib Learn to handle data effectively using Python Develop the skills to perform exploratory data analysis and data visualization Acquire the knowledge to build predictive models and perform statistical analysis Learn to handle large datasets and work with real-world data Master the skills to communicate data insights effectively Gain confidence in using Python for data analysis and visualization Table of Contents 1: Introduction to Data Analysis with Python 2: Getting Started with Python 3: Built-in Data Structures, Functions, and Files 4: Data Wrangling 5: NumPy for Data Analysis 6: Pandas for Data Analysis 7: Descriptive Statistics for Data Analysis 8: Data Exploration 9: Matplotlib for Data visualization 10: Data Visualization 11: Data Analysis in Business A. Additional Resources for Further Learning B. Insider Secrets for Success as A Data Analyst C. Glossary So, what are you waiting for? Don't let your dreams of a high-paying career in data analysis slip away. Get your hands on "Mastering Data Analysis with Python" today and start making real money.

Mastering Cloud Development Using Microsoft Azure

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Author : Roberto Freato
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-06-28

Mastering Cloud Development Using Microsoft Azure written by Roberto Freato and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-28 with Computers categories.

Master the art of efficiently composing Azure services and implement them in real-world scenarios About This Book Build an effective development environment in Azure using the right set of technologies. Architect a full-stack solution in the cloud to choose the best service set A comprehensive guide full of real-life examples to help you take your developer skills up a notch Who This Book Is For If you are a developer, a full-stack developer, or an architect with an intermediate level understanding of cloud computing and Microsoft Azure, and you want to take your skills up a notch, this book is for you. Prior knowledge and understanding of cloud development strategies is assumed. What You Will Learn Set up a development environment with VMs, ARM, and RemoteApp Connect with VPNs to manage security and backups Establish a front-end architecture with AppService, storage, search, and caching Implement identity solutions, integrate applications, and use data Integrate cross-platform mobile applications with the cloud Consistently build and manage an API layer for millions of users Work with messages in the enterprise Deploy your services as an IT expert with ARM templates In Detail Microsoft Azure is a cloud computing platform that supports many different programming languages, tools, and frameworks, including both Microsoft-specific and third-party software and systems. This book starts by helping you set up a professional development environments in the cloud and integrating them with your local environment to achieve improved efficiency. You will move on to create front-end and back-end services, and then build cross-platform applications using Azure. Next you'll get to grips with advanced techniques used to analyze usage data and automate billing operations. Following on from that, you will gain knowledge of how you can extend your on-premise solution to the cloud and move data in a pipeline. In a nutshell, this book will show you how to build high-quality, end-to-end services using Microsoft Azure. By the end of this book, you will have the skillset needed to successfully set up, develop, and manage a full-stack Azure infrastructure. Style and Approach This comprehensive guide to Azure has both explorative parts and step-by-step ones. Each chapter defines a learning path to a specific scenario, mixing the appropriate technologies and building blocks efficiently.