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eBooks on data analytics

A collection of ebooks on data analytics topics

 

eBooks are available to logged-in ICAEW members, ACA students and other entitled users. If you are unable to access an eBook, please see our Help and support advice or contact library@icaew.com.

Analysis of financial data

Covers the basic methods and techniques of data analysis.

Big data in practice: how 45 successful companies used big data analytics to deliver extraordinary results

Offers an in-depth insight into how specific companies use big data.

Business intelligence: making decisions through data analytics

A guide on how to apply data warehousing and data analytics to support business decision making.

Data cleaning: a practical perspective

This book discusses the goals of data cleaning and includes abstracts of common sets of data cleaning tasks. In particular, the book focuses on an operator-centric approach for developing a data cleaning platform.

Data science for business: what you need to know about data mining and data-analytic thinking

This guide introduces the fundamental principles of data science and walks through the "data-analytic thinking" necessary for extracting useful knowledge and business value from data.

Data strategy: how to profit from a world of big data, analytics and the internet of things

A must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage.

Digital finance: big data, start-ups, and the future of financial services

This book takes a thoughtful look at how the industry is evolving, and it explains how to integrate concepts of digital finance into existing traditional finance platforms. It explores what successful companies are doing to maximize their opportunities in this context and offers suggestions on how to introduce digital finance into a firm's structure. Specific strategies for a digital future are presented, alongside numerous case studies that explore key attributes of success.

Excel dashboards and reports for dummies

Using Excel to build better reporting mechanisms.

Flaws and fallacies in statistical thinking

This book deals with erroneous and sometimes deliberately misleading statistical arguments. It deals with fallacious statistical thinking - when faulty conclusions are drawn from data because the purveyors of the information don’t know any better.

Good charts: the HBR guide to making smarter, more persuasive data visualizations

Provides an essential guide to how visualization works. It will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.

M is for (data) monkey: the Excel Pro's definitive guide to Power Query

Power Query is one component of the Power BI (Business Intelligence) product from Microsoft, and "M" is the name of the programming language created by it. As more business intelligence pros begin using Power Pivot, they find that they do not have the Excel skills to clean the data in Excel; Power Query solves this problem. This book shows how to use the Power Query tool to get difficult data sets into both Excel and Power Pivot, and is solely devoted to Power Query dashboarding and reporting.

Market approach to valuing businesses, The

Implementing the market approach to business valuation.

Power Pivot and Power BI: the Excel user's guide to DAX, Power Query, Power BI and Power Pivot in Excel 2010-2016

Microsoft PowerPivot is a free add-on to Excel from Microsoft that allows users to produce new kinds of reports and analyses that were simply impossible before, and this book is the first to tackle DAX formulas, the core capability of PowerPivot, from the perspective of the Excel audience.

Principles of data wrangling: practical techniques for data preparation

This book walks the reader through the wrangling process by exploring several factors-time, granularity, scope, and structure-that you need to consider as you begin to work with data.

Stakeholder approach to issues management, A

Guide to issues management from a US perspective.

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