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Fundamentals of Data Analytics
- Learn Essential Skills, Embrace the Future, and Catapult Your Career in the Data-Driven World—A Comprehensive Guide to Data Literacy for Beginners
- Narrated by: Michael F. Ward
- Length: 4 hrs and 20 mins
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Publisher's summary
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.
Here is just a fraction of what you will discover:
- A beginner-friendly 5-step framework to kickstart your journey into analyzing and processing data
- How to get started with the fundamental concepts, theories, and models for accurately analyzing data
- Everything you ever needed to know about data mining and machine learning principles
- Why business run on a data-driven culture, and how you can leverage it using real-time business intelligence analytics
- Strategies and techniques to build a problem-solving mindset that can overcome any complex and unique dataset
- How to create compelling and dynamic visualizations that help generate insights and make data-driven decisions
- The 4 pillars of a new digital world that will transform the landscape of analyzing data
And much more.
Believe it or not, you can be terrible in math or statistics and still pursue a career in data.
And this book is here to guide you throughout this journey, so that crunching data becomes second nature to you.
Ready to master the fundamentals and build a successful career in data analytics? Click the “Add to Cart” button right now.
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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The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.
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The grid is an accident of history and of culture, in no way intrinsic to how we produce, deliver and consume electrical power. Yet this is the system the United States ended up with, a jerry-built structure now so rickety and near collapse that a strong wind or a hot day can bring it to a grinding halt. The grid is now under threat from a new source: renewable and variable energy, which puts stress on its logics as much as its components.
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Remember Why You Got Into Computing
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A detailed examination of Tesla's work
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What listeners say about Fundamentals of Data Analytics
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- SRL
- 01-12-24
In depth!
As a novice in the field of data analytics, this audiobook was eye opening. Though technical, it was able to simplify difficult concepts on the topic, making it ideal for someone like me. Especially insightful were the machine learning ideas and the 5-step methodology. I think anyone who works with data can benefit from this book because it covers a vast array of useful information no matter what your job is. An excellent manual for anyone wishing to enter the data-driven industry!"
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- Kevin Almiron
- 03-01-24
Learning to read data is important
The book does a great job a breaking down the process of becoming a data professional. It gives great info on how to analyze data accurately. It makes you think how the future will be less about human decisions and more on integrated data or AI in business
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- Anonymous User
- 01-29-24
The Ultimate Guide to Building a Successful Career
I love this book! Fundamentals of Data Analytics is a must-listen audiobook for anyone interested in a career in data analytics. it stands out for its inclusive approach and it goes beyond theories, exploring much wider part of data analytics. The narration is also engaging and focus on practical skills.
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- G Flickinger
- 02-16-24
Great for beginners
"Fundamentals of Data Analytics" serves as an entry point for beginners entering the dynamic world of data-driven insights. The author guides readers through the complex terrain of data analytics with clear explanations, providing a thorough guide that combines fundamental skills with practical applications. This book is more than just an introduction; it's a launchpad for a career, enabling readers to grasp the future of data literacy and flourish in the changing world of analytics.
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- APhillips
- 02-14-24
Wow! Who knew that data could tell a story?
The Fundamentals of Data Analytics is a great start to data literacy for the beginner. Even if you're really not good at math (like me), you could potentially pursue a career in data analytics using these practical tools and strategies. Truly, the future belongs to those who can use and analyze data to make and present data-driven decisions. You can adopt the "4 pillars of a new digital world." In this book you can discover practical strategies and learn about different tools you can purchase to help you, and how to decide which tools you need for the job. Even if you don't want to pursue career in this field, you can use the information learned to develop critical-thinking and a problem-solving mindset. Though I am not an analytical type person, I found this an interesting read!
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- Brian Turner
- 02-15-24
Great Book for Beginners!
This book is extensive but easy for the beginner as well. It is a complete guide to the process of data analytics. The book contains information on data mining and machine learning principles. There are strategies for cultivating a problem-solving mind, and four pillars of the new digital world. I highly recommend. .
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- Influential Inkling
- 01-12-24
A Comprehensive Guide for Aspiring Professionals
As an analytical linguist and linguist engineer, I thoroughly enjoyed "Fundamentals of Data Analytics." The audiobook offers a clear and concise exploration of essential data science concepts, providing a valuable framework for beginners. Its insights into data mining, machine learning, and the evolving landscape of data-driven business culture are particularly noteworthy. The emphasis on developing a problem-solving mindset and practical strategies for handling complex datasets adds depth to the content. Additionally, the audiobook's guidance on creating impactful visualizations aligns well with my analytical background, making it a valuable resource for anyone delving into the dynamic world of data analytics.
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- Manya Belliappa
- 01-21-24
Comprehensive and accessible guide!
This audiobook is a treasure trove for anyone aspiring to delve into the data analytics field. It breaks down complex concepts into understandable chunks, making data analytics accessible even for those less confident in math. The real-world applications and dynamic visualizations discussed are particularly enlightening. Overall, it's a must-listen for those ready to embrace the data-driven future confidently.
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- Suresh Bansal
- 01-17-24
A Data Novice's Bible
For someone looking to embrace the future of data and catapult their career, this book provides a solid foundation. It's well-structured, starting from the basics and gradually building up to more complex concepts, making it perfect for self-paced learning. What I particularly appreciated was how the book not only teaches the technicalities of data analytics but also emphasizes the importance of data literacy in today's career landscape. Whether you're a student, a professional looking to shift careers, or just curious about data analytics, this book is a valuable resource.
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- MysticPenSaga
- 02-14-24
Dense material and a great foundation
This dense book covers a wide range of data analytics topics, including data management, data storage, various types of analysis tools and approaches, and business intelligence. The book provides a solid foundation for beginners, offering clear explanations and practical examples. It breaks down complex concepts into easily understandable terms, making it accessible to readers with varying levels of technical knowledge by describing step by step techniques and approaches.
One of the standout features of this book is its focus on real-world applications. The author provides numerous case studies and examples to highlight the analytics and the visualizations of their findings.
Finally, the book also delves into the importance of data quality and the ethical considerations surrounding data analytics. Would definitely recommend this book.
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