
Everything Data Analytics A Beginner's Guide to Data Literacy
Understanding the Processes That Turn Data Into Insights
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Narrado por:
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Brennan Koenigsreuter
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De:
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Elizabeth Clarke
Acerca de esta escucha
Do you want to begin a career as a data professional but are unsure where to start? Look no further! This book will help you gain the necessary knowledge to pursue an amazing career as a data professional.
LinkedIn has found that since 2012, there has been a 650 percent job growth in data science-related fields. Not to mention, there will be an estimated 11.5 million new jobs in the field by 2026 (source: US Bureau of Labor Statistics).
With the world going remote, and precisely this field following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information.
Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.
By the end of this book, you will finally understand:
- What exactly are data science, data analytics, and big data
- The data collection, management, and storage processes
- The essential fundamentals of cleaning data
- Business intelligence and its importance
- Essential machine learning algorithms required for analysis such as regression, clustering, classification, and more…
- Effective data visualization
- Skillsets required for the many different career options
And so much more….
If you want to build your data literacy foundation and set yourself up for success in one of the most sought-after careers of the decade, you should listen to this audiobook!
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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- Versión completa
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Historia
You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee.
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Excellent complement to an introductory course in Data Science
- De Basheer en 07-15-21
De: Emily Robinson, y otros
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Data Science for Dummies
- 2nd Edition
- De: Lillian Pierson, Jake Porway - foreword
- Narrado por: Chloe Cannon
- Duración: 10 h y 28 m
- Versión completa
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Historia
Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.
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Avoid as it is useless
- De Ras en 03-01-20
De: Lillian Pierson, y otros
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Learn Power BI
- a Comprehensive, Step-By-Step Guide for Beginners to Learn Real-World Business Intelligence, 2nd Edition
- De: Greg Deckler
- Narrado por: Alex Freeman
- Duración: 10 h y 27 m
- Versión completa
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To succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter decisions faster than ever before. This updated second edition of Learn Power BI takes you on a journey of data exploration and discovery.
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Terrific supplement to his books!
- De K. Springer en 04-19-23
De: Greg Deckler
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Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
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Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
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Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
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The Model Thinker
- What You Need to Know to Make Data Work for You
- De: Scott E. Page
- Narrado por: Jamie Renell
- Duración: 15 h y 45 m
- Versión completa
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Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.
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It does not work on Audible
- De Hamilton Carvalho en 05-14-21
De: Scott E. Page
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The Art of Statistics
- How to Learn from Data
- De: David Spiegelhalter
- Narrado por: Jonathan Davis
- Duración: 9 h y 1 m
- Versión completa
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Historia
Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence - and even more so if we hope to participate in the future, rather than being simple bystanders.
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very good statistics overview
- De Tom en 11-29-19
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Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy
- Python for Data Science, Book 2
- De: Oliver Theobald
- Narrado por: Scott Morgan
- Duración: 3 h y 41 m
- Versión completa
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Historia
Make better decisions with this easy deconstructed guide to data analytics. Want to add data analytics to your skill stack? Having trouble finding where to start? Cell-by-cell, bit-by-bit, this audiobook teaches you the vocabulary, tools, and basic algorithms to think like a data scientist. Like putting together a complex Lego set, each section connects and adds individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems.
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Audio still needs a final edit
- De Amazon Customer en 01-05-23
De: Oliver Theobald
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Effective Data Storytelling
- How to Drive Change with Data, Narrative and Visuals
- De: Brent Dykes
- Narrado por: Joel Richards
- Duración: 9 h y 38 m
- Versión completa
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The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories.
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The Power of Data Storytelling Simplified
- De Amazon Customer en 02-12-25
De: Brent Dykes
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The Data Detective
- Ten Easy Rules to Make Sense of Statistics
- De: Tim Harford
- Narrado por: Tim Harford
- Duración: 10 h y 24 m
- Versión completa
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Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics - we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us”.
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I expected more
- De A. Visserman en 03-09-21
De: Tim Harford
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Advanced Algorithms and Data Structures
- De: Marcello La Rocca
- Narrado por: Julie Brierley
- Duración: 23 h y 32 m
- Versión completa
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As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.
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Wonderful audio textbook!
- De Howard_a en 11-02-21
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Data Science
- De: John D. Kelleher, Brendan Tierney
- Narrado por: Chris Sorensen
- Duración: 5 h y 51 m
- Versión completa
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It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.
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performance is borderline unlistenable
- De jlouviere en 01-14-19
De: John D. Kelleher, y otros
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Data Analytics Advantage
- A Beginner's Guide to Data Literacy, Practical Approach to Understanding and Using Data
- De: Ember Blau
- Narrado por: Lorraine Crowston
- Duración: 3 h y 28 m
- Versión completa
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Learning data analytics will open up new opportunities for you. Data analytics will be the most in-demand skill by 2030. Right now, the higher the data literacy the employee has the higher the salary he can get, for example in the US employees with solid data analytics knowledge can increase their annual salary by $11,000. (source: QLIK Technologies, Inc.)
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fantastic resource
- De Mark Cheverton en 09-10-23
De: Ember Blau
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Data Analytics
- Introduction and Guide to Data Science, Analysis, Artificial Intelligence and Machine Learning
- De: Markus Schellander
- Narrado por: Chris Johnson
- Duración: 4 h y 3 m
- Versión completa
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Whether you're new to the world of programming and are looking for clarity on what direction to take, or you're simply curious about what machine learning, AI, and big data has in store for the future and want to prepare for it, this guide makes it easy to actually understand implement machine learning and data analytics effectively.
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No depth
- De Alisha Flores en 01-10-22
Lo que los oyentes dicen sobre Everything Data Analytics A Beginner's Guide to Data Literacy
Con calificación alta para:
Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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- Amazon Customer
- 07-07-22
Easy to understand for beginner!
I have no idea what is data. But I remembered I took C++ programming in high school and I have a hard time understanding it. This is much easier to understand and easy to follow. What I like about this is that it also has a list of careers for anyone who loves studying data. It explains what each job is and the salary. I remind me of the occupational outlook handbook. But it is combined two in one, knowledge about data and a list of opportunities in this career.
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- Alejandro Parra
- 07-03-22
Great Book on Data Analysis
Elizabeth Clarke did a great job putting together the information and explaining the concept of data analytics in this book. I’m currently looking for a career change, and this book was very insightful in pursuing data analytics as a career. In addition, the book breaks down the basics I need to become a data analyst.
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- Byron Tyler
- 07-01-22
Valuable Listen
This audiobook is very helpful because it breaks down the fundamentals on data and how it impacts us in our day to day life. It also has great advice and knowledge on how analytical data works as well. Overall it's a useful listen.
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- DP
- 11-09-22
Essential content
This book is great for providing the essential knowledge you need for getting into the data analytics industry. It explains everything simply but effectively so is also great for beginners. Highly recommend!
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- Nicole
- 06-30-22
Great for Beginners
I have heard of being a data professional or the term data analytics before but honestly had no clue. My son is considering going down this career path so I wanted a book to better understand and broaden my knowledge.
This book did exactly that. It was very straight forward, offered explanations in terms I could understand and I can honestly say I have a better understanding and since I can comprehend it more I can fully support and discuss this field of expertise with my son.
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- Felix M. Marti
- 07-02-22
Great for the new learner!
Amazing, it includes everything, from the creation, management, analyzing and historical data that helps to associate all the learned material. Clearly narrated, excellent for the learner and also instructors as well! Recommended!
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- Marie
- 07-12-22
Loved This Book!
"Everything Data Analytics: A Beginner's Guide to Data Literacy" was filled with information on data analytics! It has so much info on this audiobook. It has details on; Data Analytics, Data Science, Variables, Data Collection, Data Storage, Analyzing Data, Business Intelligence, and so much more! Whether you're considering going into this field or want to know what it is, I recommend this audiobook to everyone!
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- Papa K
- 06-25-22
this is exactly what I needed
I'm getting into a career where data is key. this book has helped me emensely on how to understand and organize data. I'm glad I found this book
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- G. A. Kindle Customer
- 11-07-22
Data analytics essential for all organizations
This book will be extremely valuable to young people looking for careers using advanced math skills in data analysis for organizations large and small. The author covers introductory ideas in data literacy, and describes how these ideas play out in the real world.
The book begins by giving us just the broad outlines of data analytics, followed by a discussion of data science today. In subsequent chapters, the author defines data variables, and discusses data collection and data storage. The book then examines how organizations clean their data, and organize it, and what is meant by data mining and machine learning.
If people don’t know how to understand and make sense of data, the author indicates, entire organizations won’t survive. Each year potentially valuable information would slip through any business or organization's grasp without data experts to analyze data and redirect what matters. Business intelligence depends on getting the right information in front of the right people so as to permit sound decisions.
The author does a fine job of conveying the high-level value of analytics, giving us an overview of the careers and generous salary levels available in this rich field.
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- FitFreak
- 07-22-22
You're one step away from mastering data analytics
Building a solid foundation of practical knowledge is the first step to being successful in data analytics. For beginners, it can be difficult to understand all the different concepts and terms associated with data analytics. However, gaining a basic understanding of the essential concepts is crucial for being successful in this field. This book covers all the essential topics that every data analyst should know, from data collection and storage to machine learning algorithms and data visualization. By the end of this book, you will have a strong foundation of knowledge that you can build upon as you continue your journey in data analytics.
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