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Build a Career in Data Science
- Narrated by: Jeromy Lloyd
- Length: 14 hrs and 48 mins
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Publisher's summary
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.
About the technology:
What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career.
About the book:
Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews.
In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book.
What's inside:
- Creating a portfolio of data science projects
- Assessing and negotiating an offer
- Leaving gracefully and moving up the ladder
- Interviews with professional data scientists
Target audience:
For listeners who want to begin or advance a data science career.
About the authors:
Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor.
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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Performance
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Story
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 book and narrator
- By Alexey on 01-30-24
By: Joe Reis, and others
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Data Analytics, Data Visualization & Communicating Data: 3 books in 1
- Learn the Processes of Data Analytics and Data Science, Create Engaging Data Visualizations, and Present Data Effectively
- By: Elizabeth Clarke
- Narrated by: Brennan Koenigsreuter
- Length: 11 hrs and 2 mins
- Unabridged
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Overall
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Performance
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Story
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 20 times in the last three 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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Everything Today is Data!
- By Casey Stephenson on 04-21-23
By: Elizabeth Clarke
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The Model Thinker
- What You Need to Know to Make Data Work for You
- By: Scott E. Page
- Narrated by: Jamie Renell
- Length: 15 hrs and 45 mins
- Unabridged
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Overall
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Performance
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Story
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
- By Hamilton Carvalho on 05-14-21
By: Scott E. Page
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Everything Data Analytics A Beginner's Guide to Data Literacy
- Understanding the Processes That Turn Data Into Insights
- By: Elizabeth Clarke
- Narrated by: Brennan Koenigsreuter
- Length: 3 hrs and 22 mins
- Unabridged
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Overall
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Performance
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Story
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
- By Amazon Customer on 08-01-22
By: Elizabeth Clarke
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The Kaggle Book
- Data Analysis and Machine Learning for Competitive Data Science
- By: Konrad Banachewicz, Luca Massaron
- Narrated by: Alex Freeman
- Length: 12 hrs and 29 mins
- Unabridged
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Overall
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Performance
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Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond.
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Game Changer
- By Jon Bown on 03-05-23
By: Konrad Banachewicz, and others
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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
- By: Herbert Jones
- Narrated by: Sam Slydell
- Length: 5 hrs and 18 mins
- Unabridged
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Performance
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Story
Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.
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Skip it
- By Amanda on 02-27-19
By: Herbert Jones
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Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- By: Joe Reis, Matt Housley
- Narrated by: Adam Verner
- Length: 17 hrs and 31 mins
- Unabridged
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Overall
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Performance
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Story
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.
-
-
Great book and narrator
- By Alexey on 01-30-24
By: Joe Reis, and others
-
Data Analytics, Data Visualization & Communicating Data: 3 books in 1
- Learn the Processes of Data Analytics and Data Science, Create Engaging Data Visualizations, and Present Data Effectively
- By: Elizabeth Clarke
- Narrated by: Brennan Koenigsreuter
- Length: 11 hrs and 2 mins
- Unabridged
-
Overall
-
Performance
-
Story
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 20 times in the last three 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.
-
-
Everything Today is Data!
- By Casey Stephenson on 04-21-23
By: Elizabeth Clarke
-
The Model Thinker
- What You Need to Know to Make Data Work for You
- By: Scott E. Page
- Narrated by: Jamie Renell
- Length: 15 hrs and 45 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
-
-
It does not work on Audible
- By Hamilton Carvalho on 05-14-21
By: Scott E. Page
-
Everything Data Analytics A Beginner's Guide to Data Literacy
- Understanding the Processes That Turn Data Into Insights
- By: Elizabeth Clarke
- Narrated by: Brennan Koenigsreuter
- Length: 3 hrs and 22 mins
- Unabridged
-
Overall
-
Performance
-
Story
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
- By Amazon Customer on 08-01-22
By: Elizabeth Clarke
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Data Science for Business
- What You Need to Know About Data Mining and Data-Analytic Thinking
- By: Foster Provost, Tom Fawcett
- Narrated by: Benjamin Lange
- Length: 12 hrs and 46 mins
- Unabridged
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Overall
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Performance
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Story
Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.
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What I Was Looking For
- By Sean on 05-20-22
By: Foster Provost, and others
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Naked Statistics
- Stripping the Dread from the Data
- By: Charles Wheelan
- Narrated by: Jonathan Davis
- Length: 10 hrs and 48 mins
- Unabridged
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Overall
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Performance
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Story
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
- By Michael on 09-07-13
By: Charles Wheelan
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Data Science for Dummies
- 2nd Edition
- By: Lillian Pierson, Jake Porway - foreword
- Narrated by: Chloe Cannon
- Length: 10 hrs and 28 mins
- Unabridged
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Overall
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Performance
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Story
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
- By Ras on 03-01-20
By: Lillian Pierson, and others
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Storytelling with Data
- A Data Visualization Guide for Business Professionals
- By: Cole Nussbaumer Knaflic
- Narrated by: Cole Nussbaumer Knaflic
- Length: 5 hrs and 43 mins
- Unabridged
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Overall
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Performance
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Story
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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Very insightful and actionable
- By Amazon Customer on 04-27-18
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Deep Learning with Python (Second Edition)
- By: Francois Chollet
- Narrated by: Derek Dysart
- Length: 15 hrs and 1 min
- Unabridged
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Overall
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Performance
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Story
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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Audible version is useless - has no PDF
- By Amazon Customer on 03-04-22
By: Francois Chollet
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The Data Detective
- Ten Easy Rules to Make Sense of Statistics
- By: Tim Harford
- Narrated by: Tim Harford
- Length: 10 hrs and 24 mins
- Unabridged
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Overall
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Performance
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Story
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
- By A. Visserman on 03-09-21
By: Tim Harford
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AI at the Edge
- Solving Real-World Problems with Embedded Machine Learning
- By: Daniel Situnayake, Jenny Plunkett
- Narrated by: Suzie Althens
- Length: 17 hrs and 17 mins
- Unabridged
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Overall
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Performance
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Story
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.
By: Daniel Situnayake, and others
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The Art of Statistics
- How to Learn from Data
- By: David Spiegelhalter
- Narrated by: Jonathan Davis
- Length: 9 hrs and 1 min
- Unabridged
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Overall
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Performance
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Story
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
- By Tom on 11-29-19
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AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- By: Laurence Moroney
- Narrated by: Timothy Howard Jackson
- Length: 9 hrs and 17 mins
- Unabridged
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Overall
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Performance
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Story
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- By Luc on 08-11-23
By: Laurence Moroney
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Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- By: Alexey Grigorev
- Narrated by: Adam Newmark
- Length: 8 hrs and 49 mins
- Unabridged
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Overall
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Performance
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Story
In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
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Thank you!
- By Anonymous on 01-25-23
By: Alexey Grigorev
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Data Mesh
- Delivering Data-Driven Value at Scale
- By: Zhamak Dehghani
- Narrated by: Zura Johnson
- Length: 14 hrs and 2 mins
- Unabridged
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Overall
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Performance
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Story
We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.
By: Zhamak Dehghani
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Math for Programmers
- 3D Graphics, Machine Learning, and Simulations with Python
- By: Paul Orland
- Narrated by: Derek Lettman
- Length: 17 hrs and 17 mins
- Unabridged
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Overall
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Performance
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Story
To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.
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Not useful because there are no chapters :(
- By Katherine Snow on 06-08-22
By: Paul Orland
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What listeners say about Build a Career in Data Science
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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Overall
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Performance
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Story
- Basheer
- 07-15-21
Excellent complement to an introductory course in Data Science
I started listening to this book towards the end of a six-month course I was taking in Data Science. The book helped me gain a broader perspective of data science as a discipline and a career and complemented the technical learning I was getting from the course.
The career advice presented by the authors is invaluable, and I see myself returning to specific chapters in the future as I grow and transition in the field of Data Science.
I'm glad I listened to the book and I highly recommend it.
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3 people found this helpful
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Overall
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Performance
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- Inktense
- 01-17-23
Good narration. Soft content.
Some of the middle to later content is general career development content and not specific to data science. That doesn’t really help. Book could have gone into so many related topics to data science that it could have been more useful.
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