Subject - Business
A selection of eBooks on Data Analytics that we hold in the library:
Big Data by
Manipulating and processing masses of digital data is never a purely technical activity. It requires an interpretative and exploratory outlook - already well known in the social sciences and the humanities - to convey intelligible results from data analysis algorithms and create new knowledge. Big Data is based on an inquiry of several years within Proxem, a software publisher specializing in big data processing. The book examines how data scientists explore, interpret and visualize our digital traces to make sense of them, and to produce new knowledge. Grounded in epistemology and science and technology studies, Big Data offers a reflection on data in general, and on how they help us to better understand reality and decide on our daily actions.
Publication Date: 2020
Data Analytics with SAS by Publication Date: 2023
Business Analysis by
All organisations need to respond to the challenges within today's highly competitive global economy. Business analysts are at the forefront of these responses, enabling the development of practical, creative and financially sound solutions that address business problems and grasp new opportunities. The fourth edition of this bestselling publication provides comprehensive guidance for business analysts, encompassing the essential concepts, frameworks and techniques needed to provide professional business analysis services. Key topics covered include the strategic context, investigating business situations, managing stakeholders, improving processes and defining requirements. New topics in this edition include the service view of business analysis, the strategic context and enterprise architecture, customer experience analysis and design thinking.
Publication Date: 2020
Introductory Statistics by
Case studies, examples with margin notes, and step-by-step solutions illustrate concepts using relevant real-world topics and applications. Designed for a one-or two-semester course, Statistics, 10th Edition follows the GAISE guidelines for teaching and encourages statistical interpretation and literacy regardless of student background.
Publication Date: 2020
CBAP® Certification and BABOK® Study Guide by Publication Date: 2016
CCBA® and CBAP® Certifications Study Guide by Publication Date: 2020
Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value by
The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what's often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems.
Publication Date: 2020
Business Analytics, EBook, Global Edition by
A balanced and holistic approach to business analytics Business Analytics teaches the fundamental concepts of modern business analytics and provides vital tools in understanding how data analysis works in today's organizations.
Publication Date: 2020
Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) by
Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston's hands-on, scenario-focused guide helps you use today's Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel--and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes' theorem, and Monte Carlo simulation and scenarios Use Excel trend curves, multiple regression, and exponential smoothing for predictive analytics Use Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook
Publication Date: 2021
Ethics in the AI, Technology, and Information Age by
Increasingly, technology, the Internet and social media are playing a major part in our lives. What should we think about the ethical issues that arise, such as the changing role of intelligent machines in this Information Age? The impact of technology upon society is a perennial question, but the power of computing and artificial intelligence has ratcheted up the ethical implications of this relationship. It merits careful consideration. Ethics in the AI, Technology, and Information Age brings together a cohort of international scholars to explore the ethical ramifications of the latest technologies and their effects on our lives. This it does in three parts: (1) theoretical considerations, (2) practical applications, and (3) challenges. Beginning with theoretical essays, the book investigates the relationship between technology and nature, the limits of being "human" versus "machine," and the moral implications of artificial intelligence. The book then examines key questions; such as ownership of technology, artificial intelligence's replacement of human jobs and functions, privacy and cybersecurity, the ethics of self-driving cars, and the problematic aspects of drone warfare. With an appendix of films and documentaries to inspire further discussion on these topics, students and scholars will find Ethics in the AI, Technology, and Information Age an essential and engaging resource both in the classroom and in their daily technology-filled lives.
Publication Date: 2022
The Agile Guide to Business Analysis and Planning by
How Product Owners and Business Analysts can maximize the value delivered to stakeholders by integrating BA competencies with agile methodologies "This book will become a staple reference that both product owners and business analysis practitioners should have by their side." -- From the Foreword by Alain Arseneault, former IIBA Acting President & CEO "[This book] is well organized in bite-sized chunks and structured for ready access to the essential concepts, terms, and practices that can help any agile team be more successful." -- Karl Wiegers The Agile Guide to Business Analysis and Planning provides practical guidance for eliminating unnecessary errors and delays in agile product development through effective planning, backlog refinement and acceptance criteria specification ---with hard-to-find advice on how and when to analyze the context for complex changes within an agile approach---including when to use Journey Maps, Value Stream Mapping, Personas, Story Maps, BPMN, Use Cases and other UML models. Renowned author and consultant Howard Podeswa teaches best practices drawn from agile and agile-adjacent frameworks, including ATDD, BDD, DevOps, CI/CD, Kanban, Scrum, SAFe, XP, Lean Thinking, Lean Startup, Circumstance-Based Market Segmentation, and theories of disruptive innovation. He offers a comprehensive agile roadmap for analyzing customer needs and planning product development, including discussion of legacy business analysis tools that still offer immense value to agile teams. Using a running case study, Podeswa walks through the full agile product lifecycle, from visioning through release and continuous value delivery. You learn how to carry out agile analysis and planning responsibilities more effectively, using tools such as Kano analysis, minimum viable products (MVPs), minimum marketable features (MMFs), story maps, product roadmaps, customer journey mapping, value stream mapping, spikes, and the definition of ready (DoR). Podeswa presents each technique in context: what you need to know and when to apply each tool. Read this book to Master principles, frameworks, concepts, and practices of agile analysis and planning in order to maximize value delivery throughout the product''s lifecycle Explore planning and analysis for short-term, long-term, and scaled agile initiatives using MVPs and data-informed learning to test hypotheses and find high-value features Split features into MMFs and small stories that deliver significant value and enable quick wins Refine, estimate, and specify features, stories, and their acceptance criteria, following ATDD/BDD guidance Address the unique analysis and planning challenges of scaled agile organizations Implement 13 practices for optimizing enterprise agility Supported by 175+ tools, techniques, examples, diagrams, templates, checklists, and other job aids, this book is a complete toolkit for every practitioner. Whatever your role, you''ll find indispensable guidance on agile planning and analysis responsibilities so you can help your organization respond more nimbly to a fast-changing environment. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Publication Date: 2021
Business Analytics by Publication Date: 2020
Artificial Intelligence by
Artificial Intelligence: Technologies, Applications, and Challenges is an invaluable resource for readers to explore the utilization of Artificial Intelligence, applications, challenges, and its underlying technologies in different applications areas. Using a series of present and future applications, such as indoor-outdoor securities, graphic signal processing, robotic surgery, image processing, character recognition, augmented reality, object detection and tracking, intelligent traffic monitoring, emergency department medical imaging, and many more, this publication will support readers to get deeper knowledge and implementing the tools of Artificial Intelligence. The book offers comprehensive coverage of the most essential topics, including: Rise of the machines and communications to IoT (3G, 5G). Tools and Technologies of Artificial Intelligence Real-time applications of artificial intelligence using machine learning and deep learning. Challenging Issues and Novel Solutions for realistic applications Mining and tracking of motion based object data image processing and analysis into the unified framework to understand both IoT and Artificial Intelligence-based applications. This book will be an ideal resource for IT professionals, researchers, under or post-graduate students, practitioners, and technology developers who are interested in gaining insight to the Artificial Intelligence with deep learning, IoT and machine learning, critical applications domains, technologies, and solutions to handle relevant challenges.
Publication Date: 2021
Entrepreneurship and Big Data by
The digital age has transformed business opportunities and strategies in a resolutely practical and data-driven project universe. This book is a comprehensive and analytical source on entrepreneurship and Big Data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of digital transformation. This book provides an overview of the various aspects of entrepreneurship, function, and contemporary forms. It covers a real-world understanding of how the entrepreneurial world works and the required new analytics thinking and computational skills. It also encompasses the essential elements needed when starting an entrepreneurial journey and offers inspirational case studies from key industry leaders. Ideal reading for aspiring entrepreneurs, Entrepreneurship and Big Data: The Digital Revolution is also useful to students, academicians, researchers, and practitioners.
Publication Date: 2021
Ai for the Sustainable Development Goals by
What is artificial intelligence? What are the Sustainable Development Goals (SDGs)? How does AI affect the SDGs? Artificial Intelligence has a real impact on our lives and on our environment, and the Sustainable Development Goals enable us to evaluate these impacts in a systematic manner. This book shows that doing so requires us to understand the context of AI - the infrastructure it is built on, who develops it, who owns it, who has access to it, who uses it, and what it is used for - rather than relying on an isolationist theory of technology. By doing so, we can analyze not only the direct effects of AI on sustainability, but also the indirect - or second-order - effects. AI for the Sustainable Development Goals shows how AI potentially affects all SDGs - both positively and negatively.
Publication Date: 2022
Big Data: Concepts, Warehousing and Analytics by
Big Data is a concept of major relevance in today's world, sometimes highlighted as a key asset for productivity, growth, innovation, and customer relationships. Its popularity has increased considerably during recent years. Areas like smart cities, manufacturing, retail, finance, software development, environment, digital media, among others, can benefit from the collection, storage, processing, and analysis of Big Data, leveraging unprecedented data-driven workflows and considerably improved decision-making processes. The concept of a Big Data Warehouse (BDW) is emerging as either an augmentation or a replacement of the traditional Data Warehouse (DW), a concept that has a long history as one of the most valuable enterprise data assets. Nevertheless, research in Big Data Warehousing is still in its infancy, lacking an integrated and validated approach for designing and implementing both the logical layer (data models, data flows, and interoperability between components) and the physical layer (technological infrastructure) of these complex systems. This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complex decision processes, giving special attention to BDWs as a way of efficiently storing and processing batch or streaming data for structured or semi-structured analytical problems.
Publication Date: 2020
Application of Big Data and Business Analytics by Publication Date: 2020
AI-Enabled Analytics for Business by
We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability. To ensure we can plan for the future vs react to the future when it arrives, we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity to enable you to make better decisions from insights about the future. Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance opportunities Empower better, smarter decision making by implementing AI-enabled analytics decision support tools Uncover patterns and insights in data, and discover facts about your business that will unlock greater performance Gain inspiration from practical examples and use cases showing how to move your business toward AI-Enabled decision making AI-Enabled Analytics in Business is a must-have practical resource for directors, officers, and executives across various functional disciplines who seek increased business performance and valuation.
Publication Date: 2022
Useful websites
Searching for Datasets
Google has a specialised search engine for dataset searching. Google Dataset Search allows you to perform a keyword search to discover relevant datasets across the Web.
You can also do a dataset search on Google Search. To do this go to:
Type open data + the data you are after. For example:
Datasets and Statistics
- Australian Open Government DataAnonymised public data published by federal, state and local government agencies. Also includes data from publicly-funded research and datasets from some private institutions.
- Healthy Community IndicatorsHealth measures from the Australian Institute of Health and Welfare (AIHW). Includes an interactive data tool that can be used to explore each topic.
- Australian Bureau of StatisticsKey data from the ABS that covers labour, industry, population, environment, covid-19, the economy and health.
- World Bank Open DataWorld Bank open-access global statistical data.
- Research Data AustraliaDatasets from over 100 Australian research organisations, government agencies and cultural institutions.
- Clinical Trials datasetsU.S. National Library of Medicine clinical trial study data sets.
- World Health Organization (WHO)World Health Organisation data reports that cover covid-19, health indicators, immunisation, and sustainable development goals.
- IbisWorldAustralian collection of Industry Market Research, Industry Risk Ratings and Company Research. Includes public and privately listed companies.
How-to videos on data visualisation
The Library subscribes to the following platforms that contain training videos and talks that can assist you in further developing your knowledge and skills of data visualisation tools.
O'Reilly Platform - videos, courses, ebooks and more
LinkedIn Learning
Academic Videos Online
Tableau Academic for Students:
https://www.tableau.com/academic/students
Power BI
https://powerbi.microsoft.com/en-us/getting-started-with-power-bi/