Analysis of financial data
Covers the basic methods and techniques of data analysis.
A collection of ebooks on data analytics topics
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Covers the basic methods and techniques of data analysis.
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.
Offers an in-depth insight into how specific companies use big data.
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.
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.
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.
Understand, explore, and effectively present data using the powerful data visualization techniques of Python programming.
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.
Using Excel to build better reporting mechanisms.
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.
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.
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.
Implementing the market approach to business valuation.
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.
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.
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