Displaying 1-20 of 22 results
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Accounting disrupted
- 2021
- Al Bhimani
- John Wiley & Sons
This book delivers a powerful analysis of the new technological forces buffeting the accounting profession and identifies key pathways to responding to the challenges. [It] shows readers how established business fundamentals are being eclipsed and that accounting has not been spared. You'll learn: how the new realities of digitalization, including big data and AI, are affecting audit work and financial management practices; how learning fast about and from more diverse data sources is essential to the new accounting environment; why accounting information must start to speak to what will take ...
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Analysis of financial data
- 2006
- Gary Koop
- Wiley
Covers the basic methods and techniques of financial data analysis. Includes many of the major tools used by the financial economist, for example correlation, regression, time series analysis and methods for analyzing financial volatility. There is extensive use of real data examples. The book is aimed largely at undergraduates, for who it can serve either as a stand-alone course in applied data analysis or as an accessible alternative to standard statistical or econometric textbooks.
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Analytics and big data for accountants
- 2020
- Jim Lindell
- Wiley
This book will help accountants and financial managers better understand big data and analytics, including its history and current trends. It dives into the platforms and operating tools that will help you measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators.
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Automate the boring stuff with Python: practical programming for total beginners.
- 2015
- A. Sweigart
- No Starch Press
If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In [this book], you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand [with] no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation. The first part of this book covers basic Python programming concepts, and the second part ...
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Big data in practice: how 45 successful companies used big data analytics to deliver extraordinary results
- 2016
- Bernard Marr
- Wiley
Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.
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Data cleaning: a practical perspective
- 2013
- Venkatesh Ganti, Anish Das Sarma
- Morgan & Claypool
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. The operator-centric approach involves the development of customizable operators that could be used as building blocks for developing common solutions. This is similar to the approach of relational algebra for query processing. The basic set of operators can be put together to build complex queries. Finally, the book discusses the development of custom scripts which leverage the basi...
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Data science for business: what you need to know about data mining and data-analytic thinking
- 2013
- Foster Provost, Tom Fawcett
- O'Reilly Media
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. By learning data science principles, the reader will understand the many data mining techniques in use today. More importantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques.
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Data strategy: how to profit from a world of big data, analytics and the internet of things
- 2017
- Bernard Marr
- Kogan Page
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 decisions and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage.
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Data visualisation with Python: create an impact with meaningful data insights using interactive and engaging visuals
- 2019
- Mario Dobbler, Tim Grossman
- Packt Publishing
Understand, explore, and effectively present data using the powerful data visualization techniques of Python programming.
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Data visualization with Excel dashboards and reports
- 2021
- Dick Kusleika
- Wiley
Large corporations like IBM and Oracle are using Excel dashboards and reports as a Business Intelligence tool, and many other smaller businesses are looking to these tools in order to cut costs for budgetary reasons. An effective analyst not only has to have the technical skills to use Excel in a productive manner but must be able to synthesize data into a story, and then present that story in the most impactful way. Microsoft shows its recognition of this with Excel. In Excel, there is a major focus on business intelligence and visualization. Data Visualization with Excel Dashboards and Repor...
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Digital finance: big data, start-ups, and the future of financial services
- 2019
- Perry H. Beaumont
- Routledge
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.
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EU General Data Protection Regulation (GDPR): A practical guide, The
- 2017
- Paul Voigt, Axel von dem Bussche
- Springer
This handbook offers advice on the practical implementation of GDPR and analyses its impact. The guide examines the scope of GDPR, the organisational and material requirements for data protection, the rights of data subjects, the role of the Supervisory Authorities, enforcement and fines under the GDPR, and differences between EU jurisdictions.
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Excel dashboards and reports for dummies
- 2014
- Michael Alexander
- John Wiley and Sons
Introduces Excel functionalities for building better financial reporting mechanisms. Includes tips on exploiting Excel for data analysis and visualisation.
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Excel data analysis for dummies
- 2022
- Paul McFedries
- John Wiley & Sons, Inc.
For those new to data analysis. Takes the reader on a tour of Excel's data analysis tools.
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Flaws and fallacies in statistical thinking
- 2004
- Stephen K. Campbell
- Dover Publications
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.
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Good charts: the HBR guide to making smarter, more persuasive data visualizations
- 2016
- Scott Berinato
- Harvard Business Review Press
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.
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Guerrilla data analysis using Microsoft Excel: conquering crap data and Excel skirmishes.
- 2022
- Oz du Soleil, Bill Jelen
- Holy Macro! Books
Includes examples and case studies that teach users the tricks for analysing data in Excel.
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M is for (data) monkey: the Excel Pro's definitive guide to Power Query
- 2015
- Ken Puls, Miguel Escobar
- Holy Macro! Books
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.
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Power Pivot and Power BI: the Excel user's guide to DAX, Power Query, Power BI and Power Pivot in Excel 2010-2016
- 2016
- Rob Collie, Avichal Singh
- Holy Macro! Books
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.
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Principles of data wrangling: practical techniques for data preparation
- 2017
- Tye Rattenbury, Joseph M. Hellerstein, Jeffrey Heer, Sean Kandel, Connor Carreras
- O'Reilly Media
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. The reader will learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today's data-driven organizations.
Displaying 1-20 of 22 results
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