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.

"Mastering SAS Programming for Data Warehousing" dives into the effective use of SAS for handling large-scale data environments like data warehouses and data lakes. You will learn to design and manage ETL processes using SAS, standardize workflows with macros and arrays, and connect SAS to other systems to enhance reporting and data visualization. What this Book will help me do Master efficient data input/output management in SAS environments. Design and maintain robust ETL pipelines using SAS macros and arrays. Identify and address data warehouse user requirements. Utilize Output Delivery System (ODS) to create professional reports. Integrate SAS with external systems for optimized data processing. Author(s) Monika Wahi brings extensive SAS programming experience coupled with a strong background in data warehousing and data analysis. Her insightful approach demystifies complex topics, focusing on equipping readers with practical skills. Her collaborative writing style makes advanced concepts accessible and applicable to real-world scenarios. Who is it for? This book is designed for data professionals such as architects, managers leading data-intensive projects, and SAS programmers or developers. It's ideal for those with foundational SAS experience who aspire to manage, maintain, or develop data lakes, marts, or warehouses effectively. The book offers a logical progression from basic concepts to advanced implementations, tailored for ambitious learners.