The Art Of Data Analysis Non Technical Skills For Data Analysts
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The Art Of Data Analysis Non Technical Skills For Data Analysts
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Author : Alberto Scappini
language : en
Publisher: Alberto Scappini
Release Date : 2020-08-16
The Art Of Data Analysis Non Technical Skills For Data Analysts written by Alberto Scappini and has been published by Alberto Scappini this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-16 with Business & Economics categories.
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
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Author : Field Cady
language : en
Publisher: John Wiley & Sons
Release Date : 2020-12-03
Data Science written by Field Cady and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-03 with Business & Economics categories.
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 Analytics Basics
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Author : Simplilearn
language : en
Publisher: IndraStra Whitepapers
Release Date : 2020-12-14
Data Analytics Basics written by Simplilearn and has been published by IndraStra Whitepapers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-14 with Computers categories.
Data analytics is increasingly becoming a key element in shaping a company’s business strategy. Today, data influences every decision made by an organization, and this is driving the wide-scale adoption of data analytics, including machine learning technologies and artificial intelligence solutions. The heightened focus is propelling a surge in data analytics spending, reflected in various studies conducted by leading market research firms. The field of data analytics offers some amazing salaries and is not only the hottest IT job, but it is also one of the best-paying jobs in the world. This guide aims at providing the readers with everything they need to know about the data analytics field, basic terminologies, key concepts, real-life use cases, skills you must master in order to scale up your career, and training and certifications you might need to reach your dream job.
How To Become A Data Analyst
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Author : Paul Freeman
language : en
Publisher: Independently Published
Release Date : 2024-01-28
How To Become A Data Analyst written by Paul Freeman and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-28 with Education categories.
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 Analyst
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Author : Rune Rasmussen
language : en
Publisher: BCS, the Chartered Institute for IT
Release Date : 2019
Data Analyst written by Rune Rasmussen and has been published by BCS, the Chartered Institute for IT this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with BUSINESS & ECONOMICS categories.
Data is constantly increasing; everything from app usage, to sales, to customer surveys generate data in an average business. Out on the streets data is everywhere too, from speed and security cameras, weather monitoring and measuring footfall to name just a few examples. Against this backdrop, data analysts are in higher demand than ever. This book is an essential guide to the role of data analyst. Aspiring data analysts will discover what data analysts do all day, what skills they will need for the role, and what regulations they will be required to adhere to. Practising data analysts can explore useful data analysis tools, methods and techniques, brush up on best practices and look at how they can advance their career.
Sql For Data Analytics
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Author : Upom Malik
language : en
Publisher:
Release Date : 2019-08-22
Sql For Data Analytics written by Upom Malik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-22 with Computers categories.
Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Key Features Explore a variety of statistical techniques to analyze your data Integrate your SQL pipelines with other analytics technologies Perform advanced analytics such as geospatial and text analysis Book Description Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain business insights from data, this book is for you. SQL for Data Analytics covers everything you need progress from simply knowing basic SQL to telling stories and identifying trends in data. You'll be able to start exploring your data by identifying patterns and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you'll understand how to become productive with SQL with the help of profiling and automation to gain insights faster. By the end of the book, you'll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of analytics professional. What you will learn Use SQL to summarize and identify patterns in data Apply special SQL clauses and functions to generate descriptive statistics Use SQL queries and subqueries to prepare data for analysis Perform advanced statistical calculations using the window function Analyze special data types in SQL, including geospatial data and time data Import and export data using a text file and PostgreSQL Debug queries that won't run Optimize queries to improve their performance for faster results Who this book is for If you're a database engineer looking to transition into analytics, or a backend engineer who wants to develop a deeper understanding of production data, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Knowledge of basic SQL and database concepts will aid in understanding the concepts covered in this book.
Building Data Products Introduction To Data And Analytics Engineering For Non Programmers
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Author : Brian McMillan
language : en
Publisher:
Release Date : 2021-07-20
Building Data Products Introduction To Data And Analytics Engineering For Non Programmers written by Brian McMillan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-20 with categories.
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.
Head First Data Analysis
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Author : Michael Milton
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2009-07-24
Head First Data Analysis written by Michael Milton and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-24 with Business & Economics categories.
A guide for data managers and analyzers shares guidelines for identifying patterns, predicting future outcomes, and presenting findings to others; drawing on current research in cognitive science and learning theory while covering such additional topics as assessing data quality, handling ambiguous information, and organizing data within market groups. Original.
Analytical Skills For Ai And Data Science
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Author : Daniel Vaughan
language : en
Publisher: O'Reilly Media
Release Date : 2020-05-21
Analytical Skills For Ai And Data Science written by Daniel Vaughan and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-21 with Computers categories.
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inputs. Author Daniel Vaughan shows data scientists, analytics practitioners, and others interested in using AI to transform their businesses not only how to ask the right questions but also how to generate value using modern AI technologies and decision-making principles. You’ll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues. Break business decisions into stages that can be tackled using different skills from the analytical toolbox Identify and embrace uncertainty in decision making and protect against common human biases Customize optimal decisions to different customers using predictive and prescriptive methods and technologies Ask business questions that create high value through AI- and data-driven technologies
The Data Analysis Workshop
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Author : Gururajan Govindan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-29
The Data Analysis Workshop written by Gururajan Govindan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-29 with Computers categories.
Learn how to analyze data using Python models with the help of real-world use cases and guidance from industry experts Key FeaturesGet to grips with data analysis by studying use cases from different fieldsDevelop your critical thinking skills by following tried-and-true data analysisLearn how to use conclusions from data analyses to make better business decisionsBook Description Businesses today operate online and generate data almost continuously. While not all data in its raw form may seem useful, if processed and analyzed correctly, it can provide you with valuable hidden insights. The Data Analysis Workshop will help you learn how to discover these hidden patterns in your data, to analyze them, and leverage the results to help transform your business. The book begins by taking you through the use case of a bike rental shop. You'll be shown how to correlate data, plot histograms, and analyze temporal features. As you progress, you'll learn how to plot data for a hydraulic system using the Seaborn and Matplotlib libraries, and explore a variety of use cases that show you how to join and merge databases, prepare data for analysis, and handle imbalanced data. By the end of the book, you'll have learned different data analysis techniques, including hypothesis testing, correlation, and null-value imputation, and will have become a confident data analyst. What you will learnGet to grips with the fundamental concepts and conventions of data analysisUnderstand how different algorithms help you to analyze the data effectivelyDetermine the variation between groups of data using hypothesis testingVisualize your data correctly using appropriate plotting pointsUse correlation techniques to uncover the relationship between variablesFind hidden patterns in data using advanced techniques and strategiesWho this book is for The Data Analysis Workshop is for programmers who already know how to code in Python and want to use it to perform data analysis. If you are looking to gain practical experience in data science with Python, this book is for you.