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Master Machine Learning & Data Analytics: Learn Key ML Algorithms, Data Visualization Techniques, Predictive Analytics & Real-World Applications for Business and Career Growth (Set of 2 Books)
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Master Machine Learning & Data Analytics: Learn Key ML Algorithms, Data Visualization Techniques, Predictive Analytics & Real-World Applications for Business and Career Growth (Set of 2 Books)
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2 Books, 1 Powerful Foundation
Get started with the essentials of data science and machine learning. This combo bridges foundational data analytics with applied machine learning. Whether you’re a beginner, entrepreneur, or early-career professional, this practical set will help you:
- Understand data-driven thinking
- Develop predictive models
- Make informed business decisions
- Boost your job readiness in tech and analytics roles
What each book offers?
Book 1: Machine Learning Essentials You Always Wanted to Know
With this book, you will:
- Learn how data fuels modern machine learning systems, from training algorithms to making accurate predictions
- Understand the core concepts of supervised and unsupervised learning, including key techniques like regression and classification
- Tackle complex topics like deep learning and neural networks—made easy with clear, beginner-friendly explanations
- Discover how ML is applied in the real world, with examples from industries like healthcare, education, and more
Click here to learn more about the book
Book 2: Data Analytics Essentials You Always Wanted to Know
With this book, you will:
- Get a clear understanding of key concepts, terminology, and the evolution of data analytics
- Learn about the different types of data analytics and how they are applied in various industries
- Understand the transformative role of Big Data and how it reshapes industries globally
- Explore how industry giants like Walmart and Netflix use data analytics to drive business decisions
Pages: 492 pages
Paperback (ISBN): 9781636516042
Category: Business & Economics
Author: Dhairya Parikh, Dr. Bianca Szasz, Vibrant Publishers
Click on individual book titles below to view their complete Table of Contents.
Dhairya Parikh is a seasoned data engineer, a graduate of the University of Waterloo, and a technical writer with expertise in AI, data science, and practical ML applications.
Dr. Bianca Szasz is a Ph.D. holder in Space Engineering. In over 14 years of experience in engineering and a dedicated focus of 4 years in data analytics, she has used data analytics in a variety of innovative projects, like post-processing of the wind tunnel test results and the analysis of high enthalpy heating test results. Her enthusiasm for data analytics eventually expanded beyond using it for work. Now she is passionate about educating the future generation of data analysts.
Vibrant Publishers is focused on presenting the best texts for learning about technology and business as well as books for test preparation. Categories include programming, operating systems and other texts focused on IT. In addition, a series of books helps professionals in their own disciplines learn the business skills needed in their professional growth.
Vibrant Publishers has a standardized test preparation series covering the GMAT, GRE and SAT, providing ample study and practice material in a simple and well organized format, helping students get closer to their dream universities.
The Self-Learning Management Series is designed to help students, new managers, career switchers, and entrepreneurs learn essential management lessons and covers every aspect of business, from HR to Finance to Marketing to Operations across any and every industry. Each book includes basic fundamentals, important concepts, and standard and well-known principles as well as practical ways of application of the subject matter.
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
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
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I am a statistics graduate from Lucknow who was transitioning into an AI and data science role at a Bengaluru startup. Despite my quantitative background, I lacked programming skills, ML implementation experience, and strategic AI knowledge. This four-book set addressed all four gaps in a perfectly sequenced way. Shawn Peters's Python Essentials gave me my first real programming foundation — his teaching credentials are evident in every chapter's clarity and pacing. Dr. Bianca Szasz's Data Analytics volume built my data methodology skills across tools, big data, preprocessing, and ethical frameworks. Dhairya Parikh's ML Essentials introduced ensemble methods, neural networks, and an LLM primer through hands-on Python coding I could follow immediately. Karthik Chandrakant's AI Essentials completed the picture with NLP, computer vision, generative AI, and responsible AI governance. An exceptional career investment across all four volumes.
I lead the technology capability development team at a manufacturing group in Ankara and have been designing a structured AI and data science upskilling track for our engineers and analysts over the past year. This four-book set became the foundation of that program across a sixteen-week cohort. Shawn Peters's Python Essentials was accessible even for participants with no prior programming experience — the OOP and error handling chapters were especially appreciated. Dr. Szasz's Data Analytics volume gave the group a shared analytical vocabulary and methodology. Dhairya Parikh's ML Essentials provided algorithmic depth through hands-on coding that participants found both challenging and achievable. Karthik Chandrakant's AI Essentials gave everyone the strategic AI perspective to connect their new skills to real organizational applications. Cohort feedback was the strongest we have received for any upskilling program.
I am a director of digital strategy at a consulting firm in Chicago who needed to build genuine AI and data science literacy across my team of fifteen consultants. Finding a single bundled resource that covers Python programming, data analytics, machine learning, and AI strategy in a logically sequenced, consistently authored package felt impossible until I found this four-book set. Shawn Peters's Python Essentials — built on 19 years of teaching experience and a College of the North Atlantic certification — gives non-programmers the coding confidence they need before tackling data work. Dr. Bianca Szasz's Data Analytics volume establishes the analytical methodology. Dhairya Parikh's ML Essentials delivers the algorithmic depth with hands-on coding. Karthik Chandrakant's AI Essentials — authored by a former Amazon AI leader and TEDx speaker — provides the strategic capstone. A rare, coherent four-volume curriculum in a single purchase.
I am a senior data engineer at a retail analytics company in Seattle who picked up this four-book set to build AI strategy knowledge and sharpen the foundational concepts I use daily. What struck me first was the caliber of the author team behind each volume. Shawn Peters brings 19 years of Python teaching experience to Python Essentials — the pedagogical quality is immediately evident. Dr. Bianca Szasz's engineering Ph.D. and 14-plus years of applied analytics experience ground the Data Analytics volume in real methodology. Dhairya Parikh's University of Waterloo ML specialization and consulting background make the ML Essentials volume both technically rigorous and practically oriented. Karthik Chandrakant's 13-plus years at Amazon and Mu Sigma give the AI Essentials volume the kind of strategic authority that most AI books only aspire to. Together, these four volumes are the best organized AI education resource I have encountered at any price point.
I coordinate the data science elective stream at a management college in Hyderabad and have been evaluating this four-book bundle for potential adoption across our undergraduate and postgraduate programs. Each volume is strong enough to stand as a standalone course text — which is the true test of a bundled resource. Shawn Peters's Python Essentials is the most pedagogy-conscious Python introduction I have reviewed for non-CS students. Dr. Szasz's Data Analytics volume addresses legal frameworks, privacy considerations, and ethical data usage with a depth that is rare at this level. Dhairya Parikh's ML Essentials introduces LLMs and deep learning foundations in a way that is appropriately current for today's students. Karthik Chandrakant's AI Essentials includes career preparation and AI interview content that our placement-focused students actively need. A thoughtfully curated four-volume set for academic adoption.
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