
Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners
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Narrado por:
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Sam Slydell
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De:
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Herbert Jones
Acerca de esta escucha
Do you want to expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues? Exploring this audiobook could be a step in the right direction.
Discover two comprehensive manuscripts in one audiobook:
- Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't
- Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, and Machine Learning for Beginners
Part one of this audiobook will cover topics such as:
- What data science is
- What it takes to become an expert in data science
- Best data mining techniques to apply in data
- Data visualization
- Logistic regression
- Data engineering
- Machine learning
- Big data analytics
- And much more!
Part two of this audiobook will discuss the following topics:
- How big data works and why it is so important
- How to do an explorative data analysis
- Working with data mining
- How to mine text to get the data
- Some amazing machine learning algorithms to help with data science
- How to do data modeling
- Data visualization
- How to use data science to help your business grow
- Tips to help you get started with data science
- And much, much more!
So listen to this audiobook now if you want to learn more about data science!
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Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.
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"Why did a Kenyan immigrant win the 2008 election"
- De RealTruth en 07-11-18
De: Thomas W. Malone
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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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Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
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Data Analytics, Data Visualization & Communicating Data: 3 books in 1
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Harvard Business Review called data science “the sexiest job of the 21st century,” so it's no surprise that data science jobs have grown up to 20x in the last 3 years. With demand outpacing supply, companies are willing to pay top dollar for talented data professionals. However…To stand out in one of these positions, having foundational knowledge of interpreting data is essential.
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Make a Successful Career out of data Analytics
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Gain a competitive edge in today’s data-driven world and build a rich career as a data professional that drives business success and innovation… Today, data is everywhere… and it has become the essential building block of this modern society. And that’s why now is the perfect time to pursue a career in data. But what does it take to become a competent data professional? This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems.
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The Ultimate Guide to Building a Successful Career
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Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.
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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
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With the world going remote, and data science 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.
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Great material for starters
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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
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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
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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
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No data is completely safe. Cyberattacks on companies and individuals are on the rise and growing not only in number but also in ferocity. And while you may think your company has taken all the precautionary steps to prevent an attack, no individual, company, or country is safe. Cybersecurity can no longer be left exclusively to IT specialists. Improving and increasing data security practices and identifying suspicious activity is everyone's responsibility, from the boardroom to the break room.
De: Harvard Business Review, y otros
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Build a Career in Data Science
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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
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Introducing Python (2nd Edition)
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General
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Narración:
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Historia
Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.
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Exactly what I wanted and expected.
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Data Analytics for Beginners: Your Ultimate Guide to Learn and Master Data Analysis
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- Versión completa
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General
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Narración:
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Historia
Have you ever pause and wonder why your marketing effort is not as successful as expected? Data analytics could be your answer to turn sales around. Data analytics provides the only hope for fact-based and insightful-driven decisions can help companies manage their strategic, operating and financial performance. That's why it's no longer tenable to ignore data analytics. This book has been written with a beginner in mind.
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DIstractingly poor audio and editing.
- De CH en 11-12-23
De: Victor Finch
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The Art of Statistics
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- Narrado por: Jonathan Davis
- Duración: 9 h y 1 m
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General
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Narración:
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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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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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General
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Narración:
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Historia
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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Naked Statistics
- Stripping the Dread from the Data
- De: Charles Wheelan
- Narrado por: Jonathan Davis
- Duración: 10 h y 48 m
- Versión completa
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General
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Narración:
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Historia
From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
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Starts well then becomes non-Audible
- De Michael en 09-07-13
De: Charles Wheelan
Lo que los oyentes dicen sobre Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners
Con calificación alta para:
Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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- Archer
- 11-04-19
Great introduction at the right time.
New to Data Science but have done programming in previous jobs. I found this book extremely helpful. It gives a great introduction to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business, and Machine Learning for Beginners while urging your curiosity to explore and learn more. Love it.
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- Lizbeth
- 12-01-18
fundamentals have been discussed for beginners
This type of book creates an opportunity for the business community to speak in a common vocabulary as industries transform from gut-feel to scientific, structured analysis based decision making.
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- Jacques Giardina
- 10-24-19
Very easy to understand big data for business.
This is the best book I've found so far at describing the theory of Data Science. If you are looking to get into data science and don't want just to start ramming away with other computer languages, this is an excellent master book that will teach you the basics.
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- jhon carry
- 12-01-18
Mucho kudos to the author
It gives me a good insight into data analytics and big data. The language used is very easy to understand and have practical examples with the case study that makes the book great.
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- Gamble
- 11-04-19
Excellent starter course
This wasn't exactly what I was thinking it was, but it turned out to be something that I feel I needed. Happy that I bought it anyway.
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- Ellison
- 12-01-18
This book is one of my favorites
I truly trust there is a greater amount of such sort of book out there!good just on the off chance that you need to utilize the fundamental python. The author discussed here step by step that very helpful.
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- Levi
- 12-01-18
Simple and in depth
Also, this book will absolutely help you understand the relationship between business and data and how this relationship will help companies develop their strategy for a better future.
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- Barclay Brown
- 01-08-19
Very Informative
This is a great book to learn about Data Science. It can also be used as a reference for all professional who intend on benefiting from data analytics.
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- Lisa marry
- 12-01-18
full understanding of a statistical concept
Its obvious that the author of the book has experience and knowledge about the subject matter, and he showed us by putting his knowledge in a simple, easy and more understandable language.
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- Jack Conyers
- 10-24-19
The Ultimate Guide to Data Analytics, Data Mining
This book provided an overview of the fundamental ideas and concepts of data science. It is an excellent intellectual tour of data science.
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