In this era of data and data-driven systems, this book serves as a guide to understanding, analyzing, and presenting data and making recommendations.
-- Prof. K G Satheesh Kumar, PhD Emeritus Visiting Professor and Chair Digital University Kerala
The topics covered in the book, including importing and transforming data, data modeling, exploring visuals, formatting visuals, digital storytelling, and lastly deploying reports, illustrate a cascade of information about Business Intelligence. It truly turned "data" into insight and insight into "action."
-- Dr. A.V.V. Prasada Raju FIIIE, FIIM, FIE, FMTC, FCAE, SMAE, SMISE Chairman, National Council
It goes into great detail while remaining practical, demonstrating how Power BI may be used in a variety of actual business scenarios.
-- Bianca Szasz, Ph.D., Space Systems Engineer
This is a great resource! The explanations are clear, easy to understand, and the layout makes it simple to navigate. Whether you’re new to Power BI or just need a refresher, this book breaks things down in a way that’s approachable and practical.
-- Thao Brooks Digital creator
This book really is excellent. I hope this review reflects that:
Python Essentials You Always Wanted to Know by Shawn Peters provides a brilliant approach to learning Python. It not only moves you through all aspects of programming in Python, but with a focus on using the language to address and efficiently solve problems of many sorts.
Its approach is novel in that it encourages the reader to play a lead role in breaking down and thinking through problems and provides expert guidance on how to do this. It also includes quizzes and answers so that you can test yourself on what you’ve learned.
You can read the book from front to back or jump into whatever aspect of programming is challenging you at the moment. Whether you’re a beginning programmer or an experienced programmer looking to advance your coding skills or approach to problem-solving in Python, you’re going to appreciate this book.
-- Sandra Henry-Stocker, NetworkWorld
This book offers a beginner-friendly approach to learning Python, focusing not only on syntax but also on problem-solving, which is key for effective programming. The author’s clear intent is to make coding enjoyable and relevant, providing examples that are simple yet significant to help readers follow along. The emphasis is on applying coding skills practically, with quizzes and case studies included to solidify understanding. By the end, readers will grasp essential concepts such as Python syntax, data structures, error handling, and object-oriented programming, all while gaining the confidence to solve real-world problems. Having an understanding of these concepts, you will be well-prepared to tackle more advanced Python topics and apply your skills to real-life coding challenges.
-- LooYee NG, Solutions Architect at CTMG
What a great introduction to this topic, especially for a non-programmer like myself! The examples provided are easy to understand and apply, allowing me to try it out for myself to further cement my understanding of the steps involved. Read, See, Do. A great way to learn. I really enjoyed the quizzes at the end of each chapter, as they emphasized what the important takeaways were and reinforced what I did know - and what I didn’t. I’ll probably never become a programmer, but understanding how programming works is an asset to any user.
-- Sharon Peach B.Sc, B.Ed, M.Ed
This beginner-friendly guide makes mastering this versatile language accessible for everyone. It provides clear explanations and practical examples while avoiding technical jargon, making it perfect for absolute beginners and those at various skill levels. Even as someone who isn’t usually into programming, I found it easy to follow!
-- Samantha Nichols
Net Galley Reviewer
I had been looking for a companion guide to go along with some introductory python courses I had been taking and this was perfect, it offered what I needed as a beginner and helped to put steps into writing so I could easily refer back to them when I needed to!
-- Victoria Madigan
Net Galley Reviewer
I have not yet implemented all the lessons/the coding exercises in this book but I checked them all out.
I have a child who is interested in coding. and I love to learn to know more about coding myself in my spare time. This is a good resource for almost total beginners like us.
-- Didem
Durak Akser
Net Galley Reviewer
I truly appreciate how the author has made a challenging subject not only understandable but also engaging. The book stands out for its clarity, structured approach, and practical insights.
-- Dr. Manisha Rao
Assistant Professor, University of Delhi
Particularly strong in its use of worked examples.
--Ms. Srijana Singh
Assistant Professor, Ram Lal Anand College, University of Delhi
Excellent resource for undergraduate students and business analytics practitioners alike.
-- Dr. Rishi Rajan
Assistant Professor, Shaheed Sukhdev College of Business Studies, DU
A well-structured and engaging resource, it’s ideal for building foundational analytics skills in a business context.
-- Ms. Megha Yadav
Assistant Professor, Ram Lal Anand College , University of Delhi
This book expertly balances theory and practice, providing a clear and concise overview of key concepts through real-world examples, accessible language, and hands-on exercises.
-- Dr. Jatin Kumar
Assistant Professor, Ram Lal Anand College , University of Delhi
Ideal for someone without a statistics or programming background.
-- Ms. Pratima Negi
Assistant Professor, RLAC, Universirty of Delhi
"What sets this book apart is its practical approach. The authors strike a perfect balance between theory and application, using case studies, visualizations, and step-by-step examples that bring analytics to life.
-- Ms. Avneet Kaur
Assistant Professor,University of Delhi
The choice of examples is great for conceptual clarity.
-- Prof. Satvinder Kaur
Professor, SGGSCC, University of Delhi
The content merges key areas with real life examples which further makes it more practical and relatable.
-- Dr. Sonal Gupta
Assistant Professor, Ram Lal Anand College , University of Delhi
"An ideal book for learning business analytics."
-- Prof. Yamini Gupt
Professor, FASSH, South Campus, DU
"The author has taken a commendable initiative in simplifying empirical concepts, making them more accessible and easier to understand."
-- Dr. Sukhvinder Kaur
Assistant Professor, Mata Sundri College, DU
"One of the most striking features of the book is its thoughtful selection of examples, which significantly enhance conceptual clarity and help readers connect abstract ideas to real-world scenarios."
-- Mr. Siddharth Gupta
Assistant Professor, Ram Lal Anand College , University of Delhi
"The book is very well structured, and the content is easy to comprehend for beginners."
-- Dr. Shivani Raheja
Assistant Professor, Aryabhatta College, DU
The book is in a well-structured format, which is going to benefit a whole lot of undergraduate students.
-- Dr. Shivani Raheja
Assistant Professor, Aryabhatta College, DU
"The book is in a well-structured format, which is going to benefit a whole lot of undergraduate students."
-- Ms. Meghna Sharma
Assistant Professor, Ram Lal Anand College , University of Delhi
"The book seamlessly delivers clarity, a simplified and structured approach, and practical insights."
-- Ms. Saakshi Bhandari
Assistant Professor, Sri Guru Gobind Singh College of Commerce, DU
"The book offers a solid introduction to the core principles and applications of data-driven decision-making in modern business environments."
-- Ms. Sugandha Kaur
Assistant Professor, Mata Sundari College, DU
"It’s an accessible and informative guide for anyone looking to grasp the fundamentals and applications of business analytics."
-- Ms. Jasmit Kaur
Assistant Professor, Sri Guru Gobind Singh College of Commerce, DU
Business Analytics Essentials You Always Wanted to Know by Riyanka Jain is an accessible introduction to the world of business analytics. This book is ideal for beginners and those looking to grasp core concepts without getting bogged down in overly technical language. The author effectively breaks down complex topics, covering everything from data collection and analysis to visualization and interpretation, making it easy for readers to follow along.
-- Kelly Atkins
Saint Leo University
Educator, College or university level
United States
Business Analytics Essentials You Always Wanted to Know establishes itself as an indispensable resource in the crowded landscape of data analytics literature by achieving what few texts manage: it balances academic rigor with practical relevance while maintaining remarkable accessibility. The book's true value lies in its nuanced understanding of how analytics actually functions in organizational contexts, not as a theoretical exercise, but as a strategic imperative fraught with real-world complexities.
The book excels in its authentic portrayal of enterprise analytics in action. Unlike theoretical treatments that present analytics in a vacuum, Business Analytics Essentials carefully examines how major corporations actually operationalize data strategies. This focus on real-world application is particularly valuable for practitioners who need to bridge the gap between analytical capability and business value creation.
Business Analytics Essentials ultimately succeeds by treating analytics not as a technical discipline, but as a business function. Its greatest contribution may be in helping readers develop what I've come to call "analytical business judgment" - the ability to discern when and how analytics can create genuine value. For this reason, it serves equally well as an academic text and a professional reference.
This is the rare technical book that understands analytics must serve the business, not the other way around. It deserves attention from both aspiring analysts and senior leaders looking to build data-driven organizations. The depth of insight packed into its accessible presentation suggests it will remain relevant even as specific tools and technologies evolve.
-- Daria Kalishina
Business Analyst | Founder | R, SQL, Power BI, Tableau | Data Analytics | Visualization |
Machine Learning Essentials You Always Wanted to Know is a solid introduction to AI and ML, especially for beginners who already have a bit of "coding or technical background." What I liked most is how it keeps the curiosity alive throughout. It doesn’t go too deep into every topic, but it gives a good, broad overview, which I think is perfect for someone just starting out. The visualizations are really helpful and make the concepts easier to grasp. The overall tone stays engaging and encourages you to explore more. It's very beginner-friendly and keeps you wanting to learn more!
-- Akshat Baheti
Data Scientist, TD Bank
Machine Learning Essentials You Always Wanted to Know offers a clear, friendly, and practical introduction to machine learning. The book is structured like a guided learning journey—from understanding what machine learning is, to seeing how it’s applied in real life, to writing hands-on Python code. It’s beginner-friendly, yet technical enough to build a strong foundation. The historical timeline, real-world examples (like Netflix recommendations and Google Maps), and helpful visuals make the concepts relatable and easy to remember.
-- Julia Appelskog
Productive Planet, Book Trade Professional
Machine Learning Essentials offers a clear, structured path into a field that can often feel intimidating. The layout is accessible and well-organised, with a step-by-step approach that eases readers into the fundamentals of machine learning. Even a quick glance reveals that it prioritises understanding over jargon and blends theory with practical examples - a combination I always appreciate in educational materials.
It seems like a valuable starting point for those curious about how ML works in real life--from everyday tech like recommendation engines to more advanced applications. I particularly liked the real-world analogies that help make complex ideas more digestible.
Based on the thoughtful structure and practical tone, I believe this book will be a helpful guide for anyone looking to get a solid grasp on machine learning---without being overwhelmed.
-- Eszter Boczan
Reviewer from UK
Parikh’s expertise as a data engineer and a technical writer shines through in his ability to make machine learning approachable. Machine Learning Essentials You Always Wanted to Know is a practical companion for anyone eager to understand and implement ML in meaningful ways. Whether you’re looking to enhance your career in AI or simply gain a deeper appreciation for the technology, this book will help you.
This book distills intricate ML principles into digestible explanations. Parikh avoids unnecessary jargon, opting instead for a structured, step-by-step approach that makes learning intuitive.
Unlike many theoretical ML books, Machine Learning Essentials bridges the gap between theory and real-world application. Parikh incorporates hands-on coding exercises, allowing readers to implement key algorithms and reinforce their understanding through practice.
The book covers essential ML topics, including supervised, unsupervised, and reinforcement learning, as well as key mathematical principles that underpin these techniques.
Parikh’s expertise as a data engineer and technical writer shines through in his ability to make machine learning approachable. Machine Learning Essentials You Always Wanted to Know is a practical companion for anyone eager to understand and implement ML in meaningful ways.
-- J. Kromrie
Goodreads Reviewer
Machine Learning Essentials You Always Wanted to Know is a concise, beginner-friendly guide that demystifies machine learning for students and professionals alike. The book stands out for its clear explanations and practical approach, covering foundational algorithms and concepts without overwhelming readers with math or jargon. It introduces core topics-such as supervised and unsupervised learning, key algorithms, and evaluation metrics-using real-world examples and hands-on coding exercises in Python, making it easy for newcomers to follow along.
Dhairya Parikh’s industry experience and academic background are evident in the book’s structure and clarity. The content is well-organized, starting from the basics and progressing to more advanced models, always emphasizing practical application. The inclusion of glossaries and quizzes at the end of each chapter supports self-paced learning.
As an IT executive, I appreciate how this book bridges theory and practice, making it an ideal resource for those looking to build foundational ML skills or transition into AI roles. While advanced practitioners may be looking for more depth, this book is an excellent starting point for anyone wanting a structured, understandable introduction to machine learning.
-- Mark Johns
Amazon.com Reviewer
This timely book advances the current knowledge on consumer behavior in the digital age by providing readers with a fresh perspective and practical guide to navigate digital ecosystems.
-- Stefania Denise Escobar,
Academic Lecturer,
Abu Dhabi Hospitality Academy Les Roches
This book offers a comprehensive introduction to the fundamentals for understanding consumer behavior, a key managerial competence in the artificial intelligence era, by integrating solid theoretical foundations with practical applications.
-- Emanuele Gabriel Margherita,
Tenure-Track Assistant Professor,
Link Campus University, Rome
This book offers a clear and engaging perspective on digital consumer behavior, making it highly accessible and enjoyable to read. It provides practical tools such as case studies and applied exercises that add value beyond theory. Its well-structured content and broad coverage make it relevant across academic contexts (e.g., students and professors) as well as the business world (e.g., professionals, small and large companies), positioning it as a versatile and insightful resource.
-- Giuseppe Ceci,
Academic Researcher in Management,
MIT Senseable City Lab (Brazil)
This book delivers a timely analysis of how data-driven technologies and digital platforms influence consumer behavior and decision-making. It combines insights from multiple disciplines to examine the strategic and ethical tensions between personalization, persuasion, and consumer agency. The inclusion of real-world cases and end-of-chapter exercises enhances its practical relevance, making it a valuable resource for both managers and students.
-- Ginevra Testa, Professor, University of Genoa
This book provides a timely perspective on digital consumer behaviour, offering readers a practical and insightful guide to understanding consumer decision-making in digital markets. Its focus on behavioural insights and managerial relevance makes it a valuable resource across academic and professional contexts.
-- Ludovica Antenozio,
Marketing Specialist and Academic Researcher in Business Strategy and Digital Orientation, Spain
This book presents a clear and engaging exploration of digital customer behavior, seamlessly blending academic rigor with real-world business relevance.
-- Enrico Ferrara,
Digital Area Manager,
Würth Italia
This book delivers a clear and focused analysis of how digital systems shape visibility, choice, and purchasing behavior. By linking algorithms, interface design, and data usage to real user outcomes, it moves beyond a purely technical view and highlights the practical impact of platform decisions. This integrated perspective makes the book highly relevant for anyone working on complex, user-centered digital projects.
-- Letizia Faieta,
IT Project Manager,
Dromedian
One of the key strengths of Digital Consumer Behavior Essentials is the balance between theory and practice. The book provides practical tools to understand and manage personalization, recommendation systems, and data governance, helping turn technical choices into informed design decisions that directly impact user experience and behavior.
-- Simone Vona,
Project Manager,
Würth Italy
An informative overview into consumerism and how it shapes the world today. An insightful book.
-- Megan Johnson,
Librarian, Burnley Central Library
An excellent guide for learning the basics of data structures and algorithms with simple explanations and useful examples.
-- Pintu Kumar
Research Scholar,
IEOR, IIT Bombay
Packed with clear explanations of essential DSA concepts, this book is a must-have for anyone serious about mastering data structures and algorithms in Python.
-- Karthik Chandrakant
AI Leader; Head of Data Science & AI at Imarticus Learning; Ex-Amazon, Mu Sigma; TEDx Speaker, Author
Data Structures and Algorithms Essentials You Always Wanted to Know provides a clear, structured, and beginner-friendly introduction to core data structures and algorithms using Python. Each chapter balances theory, practical applications, and quizzes that reinforce learning, making it ideal for self-learners and early computer science and data science students. The inclusion of real-world examples, such as caching and file systems, helps bridge the gap between abstract concepts and hands-on coding. Since I opened the book, I couldn't close it. If you want to learn data structures concepts, this is the learning material for you.
-- Dr. Lawrence Decamora
Computer Science Instructor,
University of Santo Thomas
The book delivers a strong educational experience characterized by clarity, accuracy, and pedagogical effectiveness. It excels at introducing foundational computer science concepts to beginners while maintaining practical relevance through real world coding examples.
-- Aldo Baca
Senior Machine Learning Scientist
Shawn Peters’ book does a great job of explaining how data structures and algorithms are used with real life examples, making complex ideas easy to grasp. I especially loved the way he uses pie baking as a fun illustration—it turns a tricky concept into something clear and relatable. The language is simple, avoiding jargon, and the illustrations really help make the ideas stick. It’s inspiring to see how these skills can be applied in professional settings, linking everyday understanding to real-world problem-solving. Overall, it’s an engaging and practical read that makes learning data structure and algorithms both accessible and relevant to everyday and professional life.
-- Loo Yee NG
Solutions Architect, CTMG
Shawn Peters has created an excellent guide for anyone studying computer science or data science, whether at school, university, or learning independently. This book offers a comprehensive and accessible introduction to essential topics like data structures, arrays, Big O notation, stacks, queues, linked lists, hash tables, trees, graphs, and dynamic programming. With clear explanations, practical Python and pseudocode examples, and real-world applications, it’s a valuable resource for learners preparing for exams, interviews, or building a strong foundation in coding. A smart, well-structured read for students and aspiring developers alike.
-- Jonathan Gillespie
Computer Science & Business Teach
It is an entry-level teaching textbook, easy to understand, suitable for the preliminary classes in a college course, or serves as a prerequisite reading for a data course.
-- Ting Zhang, Ph.D. Harry Y. Wright Chair, Associate Professor at Merrick School of Business
I think this text is a comprehensive yet succinct manual. It gives a usable introduction to data analytics and is easy to read and comprehend. An added benefit is that the book contains real-world case studies and interesting facts to help enhance existing knowledge.
A key strength of this text is the option to choose the topics that you want to focus on and the resources that you want to use. This flexibility makes self-directed learning a great option for busy professionals who want to add data analytics skills to their repertoire. If you're interested in self-directed learning for data analytics, there are a few things you need to do to get started, and this text will help!
-- David E Reva Instructor - CIS, Kalamazoo Valley Community College
The book is written in a way that makes it easier for complete beginners like me to start to understand the world of data analytics. Every chapter has a helpful summary and a quiz to test your knowledge. Fascinating!
-- Chiara Colombo, Sr Contracts Analyst, Yahoo! Inc.
Absolutely valuable book that can help to structure your knowledge in data science and data analytics. If you are at advanced level, the book may be not for you however if you are looking to shape your experience or interested in switching career to date rekated, this book is a great help. It can provide an overview of the field, present a structured knowledge set and give a good understanding.
-- Darya Yegorina, DBA - Chief of Staff Strategy & Sales Ops, Verizon
Thanks for the opportunity to review this book. A really good introduction to data analytics, set out logically and sequentially building knowledge and understanding as I read. I was able to put into practice what I was learning and really appreciated the summary and quizzes.
Recommend.
-- Emma Dresser, Senior Project Manager
This book is a comprehensive and detailed "map" of Data Analytics subject, which a professional can use in its first years of career. The book covers everything you need to know at the beginning of the journey and will help you make wise decisions such as which software tool to use to solve a specific problem and what are its advantages and disadvantages. The book abounds with practical examples, quizzes and good practice tips.
-- Cătălin Neacșu, Doctor of Philosophy (Ph.D) in Physics
The book is an excellent resource for anyone interested in data analytics. Whether you're a student, professional, or simply a curious learner, this book provides the knowledge and tools needed to navigate and excel in the world of data analytics.
-- Tamer Abu Rouk, Space Engineer
Great book! It helped me understand all we can do with data analytics tools and, thanks to this book, I have started to implement some data analytics techniques at my own job!
-- Sara Szasz, Chief Economist
This book is excellent as it provides a versatile guide to data analytics for all levels, catering both to beginners as well as for those more experienced in the field. Beginners will appreciate how it simplifies complex concepts, offering clear, structured chapters that make learning the basics both manageable and engaging. For seasoned analysts, the book is a valuable reference, delving into advanced topics with clarity and offering practical, real-world applications of various analytics tools.
-- Dana Neacșu, Competitive Analyst
