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Data is constantly increasing and data analysts are in higher
demand than ever. This book is an essential guide to the role of
data analyst. Aspiring data analysts will discover what data
analysts do all day, what skills they will need for the role, and
what regulations they will be required to adhere to. Practising
data analysts can explore useful data analysis tools, methods and
techniques, brush up on best practices and look at how they can
advance their career.
Leverage the full potential of SAS to get unique, actionable
insights from your data Key Features Build enterprise-class data
solutions using SAS and become well-versed in SAS programming Work
with different data structures, and run SQL queries to manipulate
your data Explore essential concepts and techniques with practical
examples to confidently pass the SAS certification exam Book
DescriptionSAS is one of the leading enterprise tools in the world
today when it comes to data management and analysis. It enables the
fast and easy processing of data and helps you gain valuable
business insights for effective decision-making. This book will
serve as a comprehensive guide that will prepare you for the SAS
certification exam. After a quick overview of the SAS architecture
and components, the book will take you through the different
approaches to importing and reading data from different sources
using SAS. You will then cover SAS Base and 4GL, understanding data
management and analysis, along with exploring SAS functions for
data manipulation and transformation. Next, you'll discover SQL
procedures and get up to speed on creating and validating queries.
In the concluding chapters, you'll learn all about data
visualization, right from creating bar charts and sample geographic
maps through to assigning patterns and formats. In addition to
this, the book will focus on macro programming and its advanced
aspects. By the end of this book, you will be well versed in SAS
programming and have the skills you need to easily handle and
manage your data-related problems in SAS. What you will learn
Explore a variety of SAS modules and packages for efficient data
analysis Use SAS 4GL functions to manipulate, merge, sort, and
transform data Gain useful insights into advanced PROC SQL options
in SAS to interact with data Get to grips with SAS Macro and define
your own macros to share data Discover the different graphical
libraries to shape and visualize data with Apply the SAS Output
Delivery System to prepare detailed reports Who this book is
forBudding or experienced data professionals who want to get
started with SAS will benefit from this book. Those looking to
prepare for the SAS certification exam will also find this book to
be a useful resource. Some understanding of basic data management
concepts will help you get the most out of this book.
Leverage the analytical power of SAS to perform financial analysis
efficiently Key Features Leverage the power of SAS to analyze
financial data with ease Find hidden patterns in your data, predict
future trends, and optimize risk management Learn why leading banks
and financial institutions rely on SAS for financial analysis Book
DescriptionSAS is a groundbreaking tool for advanced predictive and
statistical analytics used by top banks and financial corporations
to establish insights from their financial data. SAS for Finance
offers you the opportunity to leverage the power of SAS analytics
in redefining your data. Packed with real-world examples from
leading financial institutions, the author discusses statistical
models using time series data to resolve business issues. This book
shows you how to exploit the capabilities of this high-powered
package to create clean, accurate financial models. You can easily
assess the pros and cons of models to suit your unique business
needs. By the end of this book, you will be able to leverage the
true power of SAS to design and develop accurate analytical models
to gain deeper insights into your financial data. What you will
learn Understand time series data and its relevance in the
financial industry Build a time series forecasting model in SAS
using advanced modeling theories Develop models in SAS and infer
using regression and Markov chains Forecast inflation by building
an econometric model in SAS for your financial planning Manage
customer loyalty by creating a survival model in SAS using various
groupings Understand similarity analysis and clustering in SAS
using time series data Who this book is forFinancial data analysts
and data scientists who want to use SAS to process and analyze
financial data and find hidden patterns and trends from it will
find this book useful. Prior exposure to SAS will be helpful but is
not mandatory. Some basic understanding of the financial concepts
is required.
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