Book On Business Intelligence – There has never been a better time to learn data analytics and enter the growing field. Industry leaders such as IBM predict that the number of open roles will increase from 364,000 to 2.7 million this year, and by 2028 jobs in data are expected to grow by 16 percent, according to the U.S. Bureau of Labor Statistics.
It’s clear that the job landscape for data professionals is expanding, with a wide range of opportunities in various industries. When preparing for a career in data analytics, the amount of information to master can be overwhelming.
Book On Business Intelligence
To help you get started, we’ve compiled a list of 17 must-read data analytics books covering machine learning, big data, artificial intelligence, data science, Python, business intelligence, deep learning, prediction, and more. These books will help any reader understand the power of data and how to use it.
Pdf) Beyond Business Intelligence
Ph.D. Written by an expert in machine learning with nearly two decades of hands-on experience in artificial intelligence and computer science, this compact book is unique in many ways. It can be read in a few hours, but it provides a wealth of information without sacrificing quality information. Readers will enjoy an easy-to-understand piece that systematically delves into a wide range of machine learning topics without straying from the math side of the industry.
Whether you are skeptical or interested in the business uses for big data, this is a big data book in which the author explores how businesses and even local governments use big data to their advantage. With numerous case studies and quotes from big data professionals around the world, Too Big to Ignore: The Business Case for Big Data is a must-read for anyone considering entering the field. Readers will gain valuable insight into turning data into intelligence, and intelligence into something useful.
This book is ideal for anyone who wants to understand why data analytics is important, and not just in a business sense. Data analytics can be applied to many industries, and this book provides information on how data can make an impact in your specific field, whatever that may be. This data analytics book prepares readers for the reality that the big data revolution isn’t going anywhere anytime soon, and encourages them to embrace the industry changes ahead.
Delivering Business Intelligence With Microsoft Sql Server 2016, Fourth Edition
In Artificial Intelligence, award-winning author and leading computer scientist Melanie Mitchell reveals the turbulent history of AI as well as the successes, hopes and emerging fears surrounding it. Throughout the book, Mitchell looks at some of the most pressing questions surrounding AI today: How does it work? Should we worry about them catching up to us? Mitchell also gives readers a clear sense of the deep disconnect between hype and actual achievements in AI, while interweaving stories about the science of AI and the people behind it.
This book provides a glimpse into the history of the field of business intelligence and provides a unique perspective on big data and data analytics. Readers will look at successes and issues in the field and discover things not always openly discussed in the industry, and learn how time-honored data practices are outdated while gaining insight into how-tos. Stay competitive within the field. The book also explores the past, present and future of the field to dispel many of the misconceptions associated with modern data analysis and data collection.
6) Create value with social media analytics: social media text, networks, actions, locations, applications, hyperlinks, multimedia and search engines Data management, alignment and mining
Business Intelligence Case Study
This book will teach you how to apply big data analytics to your social media strategy, helping drive value and engagement. As you move toward a data career, this book will help you better understand the principles, concepts, strategies, techniques, and resources needed to derive business value from social media that can be used to improve customer loyalty, lead generate, increase traffic, and ultimately, create sales. Practical business decisions.
The Quick Python Book provides a comprehensive guide to the Python language by Naomi Seder, president of the Python Software Foundation. The book beautifully balances programming language details with insights and advice that readers can use to manage any task. Ceder provides detailed, relevant examples and exercises to help readers understand each concept for the first time, making it a must-read for beginners preparing to enter the data analytics field.
After reading this book, you will have an understanding of how to develop detailed analytics that can help you achieve business goals. The author explores the more complex aspects of data science, the skills required and how to acquire them. The book also examines the skills employers are looking for and how the growing reliance on big data has increased the demand for data professionals. This in-depth book includes job interview questions, sample resumes, salary surveys, and sample job postings. Readers can also discover case studies that illustrate how data science is used on Wall Street, botnet detection, digital advertising and more.
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9) A Practitioner’s Guide for Business Analysts: Using Data Analytics Tools to Improve Your Organization’s Decision Making and Strategy
This data analytics book first examines the steps involved in assessing analytics needs and capabilities, then moves on to how to develop a strategic plan to achieve business goals. The book provides tools, information, and strategies to help you obtain the valuable business analysis needed to make data-driven business decisions. Readers will discover how to dissect business analytics, measure and demonstrate its value to an organization, and help other data professionals harness its potential and discover new insights.
If you are just starting to learn about data, or if you are not sure how it works, this book provides a lot of information. Data Analytics Made Accessible breaks down data analysis into an easy-to-follow, digestible format. By exploring real-world examples (rather than complex hypothetical situations), readers of any skill level will be able to pick up and follow this data analysis book to learn the basics. In fact, this resource has been so well received that many universities have included it in required reading for many analytics courses.
Active Intelligence: The Next Era In Business Intelligence
Written by respected data science experts Foster Provost and Tom Fawcett, this book introduces the fundamental concepts of data science while introducing readers to data analytical thinking that can be used to extract useful knowledge and business value from data. After reading this book, you will fully understand how to think data analytically and how data science methods can support business decision making.
In this book, leading physician Eric Topol reveals how artificial intelligence has the potential to empower doctors and revolutionize patient care, changing everything doctors do from notes and scans/imaging to diagnosis and treatment, significantly reducing drug costs and deaths. Topple suggests that by freeing clinicians from tasks that interfere with the human connection, AI will create space for real healing to occur between a hearing doctor and a hearing patient.
The success of many companies depends on their ability to make the right decisions quickly and efficiently. Machine learning is an excellent way to understand customers, frame these decisions and drive value. This book takes readers through the steps to apply best-in-class business data science using machine learning, and accelerate business decision making. Whether you’re just starting your career or a seasoned professional, you’ll find the information, insights, and tools you need to thrive in today’s data-driven economy.
Delivering Data Analytics Book Templates
Mastering Python programming is not just about learning the theoretical aspects of the language. It is also about understanding and following the conventions and best practices used by its community. In this book, author Dan Bader helps readers discover proven methods and the power of Python with simple examples and a step-by-step story. Whether you’re new to the language or looking to improve your skills, this book contains great exercises and little-known tricks to round out your knowledge.
This book takes a deep dive into mathematical, statistical, and computational models—from linear regression to random walks and beyond. Readers learn how to apply multivariate models to organize data, leading to better decision making, more accurate predictions, and more consistent designs. The author also provides a toolkit for business professionals, academics, scientists, pollsters and bloggers to think strategically and use data better.
In this book, two leaders in the field offer a compelling analysis of the current state of statistical science while revealing the steps we must take to achieve a truly robust artificial intelligence field. Drawing inspiration from the human mind, the authors explain what is needed to advance AI to the next level to create AI we can trust—in our homes, our cars, and our doctors’ offices. If you are interested in artificial intelligence, this book provides a current, accessible and balanced introduction to the field.
The Book Look: Growing Business Intelligence
The last book on our list is A Playful Introduction to the Python Language. If you have a child or teenager, encouraging them to learn to code can be enlightening
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