The Art of Data Analysis: Non-Technical Skills for Data Analysts

The Art of Data Analysis: Non-Technical Skills for Data Analysts
Author: Alberto Scappini
Publisher: Alberto Scappini
Total Pages: 235
Release: 2020-08-16
Genre: Business & Economics
ISBN: 1702688526

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Would you like to greatly improve your data analysis capabilities by learning the most critical non-technical skills? Do you want to be more astute and well-rounded when applying your skills as a data analyst and achieve better results? If you answered “yes” to any of these questions, keep reading ….. There is an immense focus being placed on data analysis by businesses these days. It is indispensable and helps boil down decision-making to a science. This in turn lets organizations streamline their processes, increase their efficiency, and reduce their operating costs. For this reason, data analysts are in high demand. While technical skills are needed for the job, a salient focus is placed on what soft skills do the incumbent data analysts possess. A lot of data analysts do not adequately acquire these soft skills and therefore fail to realize their full potential. The most impactful work that a highly successful data analyst does comprises non-technical skills. Some crucial skills among these include being able to construct the problem, understand the business context, ask the right questions, find creative solutions, creating visualizations, and presenting the findings. This indispensable book will guide you through these absolutely necessary soft skills that you need in order to excel at your work as a valuable data analyst. Here’s a preview of this fantastic book, and what else you’ll learn: ● The critical contribution of non-technical skills in data analysis ● Using creativity to enable solving more complex problems quickly ● Understanding the business to address the specific needs of enterprises ● Thinking strategically to enhance the effectiveness and efficiency of your work ● Knowing how the human mind works to discover the abilities and limitations of various analytical models ● Using alternative techniques compared to statistical analysis such as qualitative data analysis, analytics, heuristics, etc., to gain a deeper perspective ● Acquiring negotiating skills to better deal with external and internal stakeholders ● Learning to better communicate your data analysis insights ● Being a better writer to be able to better express yourself ….. And much more! As a key bonus, included in this book are chapters that extensively elaborate on designing your findings by means of visualizations and public speaking in order to convincingly present your finding to a group of influential people and executives. The author understands your peculiar concerns and has therefore written this book in a clear and concise manner. The work is also thorough, relevant, and up-to-date. You are not required to be an experienced analyst to read this book. However, you do need to have a zeal for the subject and the passion for improving the outcome of your work. So, if you want to dramatically improve as a data analyst and aspire to reach the zenith of your field, click the “Add to Cart” button, and let’s get started!

Data Science

Data Science
Author: Field Cady
Publisher: John Wiley & Sons
Total Pages: 208
Release: 2020-12-03
Genre: Business & Economics
ISBN: 1119544173

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Tap into the power of data science with this comprehensive resource for non-technical professionals Data Science: The Executive Summary – A Technical Book for Non-Technical Professionals is a comprehensive resource for people in non-engineer roles who want to fully understand data science and analytics concepts. Accomplished data scientist and author Field Cady describes both the “business side” of data science, including what problems it solves and how it fits into an organization, and the technical side, including analytical techniques and key technologies. Data Science: The Executive Summary covers topics like: Assessing whether your organization needs data scientists, and what to look for when hiring them When Big Data is the best approach to use for a project, and when it actually ties analysts’ hands Cutting edge Artificial Intelligence, as well as classical approaches that work better for many problems How many techniques rely on dubious mathematical idealizations, and when you can work around them Perfect for executives who make critical decisions based on data science and analytics, as well as mangers who hire and assess the work of data scientists, Data Science: The Executive Summary also belongs on the bookshelves of salespeople and marketers who need to explain what a data analytics product does. Finally, data scientists themselves will improve their technical work with insights into the goals and constraints of the business situation.

Data Analysis for Business, Economics, and Policy

Data Analysis for Business, Economics, and Policy
Author: Gábor Békés
Publisher: Cambridge University Press
Total Pages: 741
Release: 2021-05-06
Genre: Business & Economics
ISBN: 1108483011

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A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.

Excel Data Analysis For Dummies

Excel Data Analysis For Dummies
Author: Paul McFedries
Publisher: John Wiley & Sons
Total Pages: 58
Release: 2018-11-13
Genre: Computers
ISBN: 1119518164

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Take Excel to the next level Excel is the world’s leading spreadsheet application. It’s a key module in Microsoft Office—the number-one productivity suite—and it is the number-one business intelligence tool. An Excel dashboard report is a visual presentation of critical data and uses gauges, maps, charts, sliders, and other graphical elements to present complex data in an easy-to-understand format. Excel Data Analysis For Dummies explains in depth how to use Excel as a tool for analyzing big data sets. In no time, you’ll discover how to mine and analyze critical data in order to make more informed business decisions. Work with external databases, PivotTables, and Pivot Charts Use Excel for statistical and financial functions and data sharing Get familiar with Solver Use the Small Business Finance Manager If you’re familiar with Excel but lack a background in the technical aspects of data analysis, this user-friendly book makes it easy to start putting it to use for you.

The Art of Data Science

The Art of Data Science
Author: Roger D. Peng
Publisher:
Total Pages: 170
Release: 2016-06-08
Genre: Business & Economics
ISBN: 9781365061462

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"This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science."--Leanpub.com.

Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers

Building Data Products Introduction to Data and Analytics Engineering for Non-Programmers
Author: Brian McMillan
Publisher:
Total Pages: 475
Release: 2021-07-20
Genre:
ISBN: 9781737536536

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Introducing Data and Analytics Engineering to a diverse group of non-technical people requires a broad exposure to specific technical skills and tools. However, in order to be effective, everyone involved, including non-technical managers, needs to understand the larger philosophy of software development. This book covers both. If you are a manager focused on the difficulties of running a business faced with constant change and competition, this book introduces a number of ways to identify, manage, communicate, and measure what is most valuable. If you are an analyst faced with the simple fact that there are never enough hours in the day to get everything done, this book balances the typical technical demonstrations with software development philosophy and business management strategies you can use to maintain focus on delivering the things with the highest business value in a sustainable way. For seasoned engineers and educators, this book is intended to serve as an introduction to teaching the hard and soft skills needed to effectively understand the entire product lifecycle and foundational philosophies of data and analytics engineering.

Handbook of Data Analysis

Handbook of Data Analysis
Author: Melissa A Hardy
Publisher: SAGE
Total Pages: 729
Release: 2009-06-17
Genre: Social Science
ISBN: 1446203441

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′This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond′ - Environment and Planning ′The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher′ - Clive Seale, Brunel University ′With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ′ - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa ′This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments′ - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.

How to Become a Data Analyst

How to Become a Data Analyst
Author: Paul Freeman
Publisher: Independently Published
Total Pages: 0
Release: 2024-01-28
Genre: Education
ISBN:

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Unlock the secrets of data and step into the exciting world of "How to Become a Data Analyst." This book is your go-to guide, making the journey from curious explorer to skilled data analyst an adventure of discovery. Dive into the pages of this comprehensive guide, where you'll learn the art and science of decoding data. From understanding the role of a data analyst to mastering powerful tools and techniques, this book is a roadmap for anyone fascinated by the stories hidden in numbers. Whether you're a student with a passion for data or someone looking to kickstart a career in analytics, this book will equip you with the skills needed to navigate the dynamic landscape of data analysis. Uncover the mysteries, embrace the challenges, and become a master of the captivating art and science of data analytics with this essential guide in hand. Your journey to becoming a proficient data analyst starts here!

Data Analytics for Organisational Development

Data Analytics for Organisational Development
Author: Uwe H. Kaufmann
Publisher: John Wiley & Sons
Total Pages: 372
Release: 2021-07-26
Genre: Computers
ISBN: 1119758335

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A practical guide for anyone who aspires to become data analytics–savvy Data analytics has become central to the operation of most businesses, making it an increasingly necessary skill for every manager and for all functions across an organisation. Data Analytics for Organisational Development: Unleashing the Potential of Your Data introduces a methodical process for gathering, screening, transforming, and analysing the correct datasets to ensure that they are reliable tools for business decision-making. Written by a Six Sigma Master Black Belt and a Lean Six Sigma Black Belt, this accessible guide explains and illustrates the application of data analytics for organizational development and design, with particular focus on Customer and Strategy Analytics, Operations Analytics and Workforce Analytics. Designed as both a handbook and workbook, Data Analytics for Organisational Development presents the application of data analytics for organizational design and development using case studies and practical examples. It aims to help build a bridge between data scientists, who have less exposure to actual business issues, and the "non-data scientists." With this guide, anyone can learn to perform data analytics tasks from translating a business question into a data science hypothesis to understanding the data science results and making the appropriate decisions. From data acquisition, cleaning, and transformation to analysis and decision making, this book covers it all. It also helps you avoid the pitfalls of unsound decision making, no matter where in the value chain you work. Follow the “Five Steps of a Data Analytics Case” to arrive at the correct business decision based on sound data analysis Become more proficient in effectively communicating and working with the data experts, even if you have no background in data science Learn from cases and practical examples that demonstrate a systematic method for gathering and processing data accurately Work through end-of-chapter exercises to review key concepts and apply methods using sample data sets Data Analytics for Organisational Development includes downloadable tools for learning enrichment, including spreadsheets, Power BI slides, datasets, R analysis steps and more. Regardless of your level in your organisation, this book will help you become savvy with data analytics, one of today’s top business tools.

Data Visualization with Excel Dashboards and Reports

Data Visualization with Excel Dashboards and Reports
Author: Dick Kusleika
Publisher: John Wiley & Sons
Total Pages: 352
Release: 2021-02-05
Genre: Computers
ISBN: 1119698731

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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 Reports fills the gap between handling data and synthesizing data into meaningful reports. This title will show readers how to think about their data in ways other than columns and rows. Most Excel books do a nice job discussing the individual functions and tools that can be used to create an "Excel Report". Titles on Excel charts, Excel pivot tables, and other books that focus on "Tips and Tricks" are useful in their own right; however they don't hit the mark for most data analysts. The primary reason these titles miss the mark is they are too focused on the mechanical aspects of building a chart, creating a pivot table, or other functionality. They don't offer these topics in the broader picture by showing how to present and report data in the most effective way. What are the most meaningful ways to show trending? How do you show relationships in data? When is showing variances more valuable than showing actual data values? How do you deal with outliers? How do you bucket data in the most meaningful way? How do you show impossible amounts of data without inundating your audience? In Data Visualization with Excel Reports and Dashboards, readers will get answers to all of these questions. Part technical manual, part analytical guidebook; this title will help Excel users go from reporting data with simple tables full of dull numbers, to creating hi-impact reports and dashboards that will wow management both visually and substantively. This book offers a comprehensive review of a wide array of technical and analytical concepts that will help users create meaningful reports and dashboards. After reading this book, the reader will be able to: Analyze large amounts of data and report their data in a meaningful way Get better visibility into data from different perspectives Quickly slice data into various views on the fly Automate redundant reporting and analyses Create impressive dashboards and What-If analyses Understand the fundamentals of effective visualization Visualize performance comparisons Visualize changes and trends over time