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Master Machine Learning, Python, Data Analytics & Business Statistics: Complete Guide for Beginners & Professionals to Learn AI, Data Science, Programming & Analytics (Set of 4 Books)
Estimated delivery between May 31 and June 02.
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Master Machine Learning, Python, Data Analytics & Business Statistics: Complete Guide for Beginners & Professionals to Learn AI, Data Science, Programming & Analytics (Set of 4 Books)
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From writing your first Python script to applying statistical thinking and building machine learning models—this bundle covers it all. Build real-world, job-ready skills across four critical areas:
- Python Essentials – Learn how to code efficiently and build logical thinking
- Data Analytics Essentials – Understand data handling and interpretation
- Business Statistics Essentials – Grasp the math behind data-driven decisions
- Machine Learning Essentials – Explore AI models and real-world use cases
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
- Tackle complex topics like deep learning and neural networks—made easy with clear, beginner-friendly explanations
Click here to learn more about the book
Book 2: Python Essentials You Always Wanted to Know
With this book, you will:
- Gain a solid foundation in Python, making it easier to progress to more advanced topics with simple and step-by-step explanations
- Learn how to handle errors and exceptions, making sure your code runs smoothly and efficiently
Click here to learn more about the book
Book 3: 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
Click here to learn more about the book
Book 4: Business Statistics Essentials You Always Wanted to Know
With this book, you will:
- Gain a strong foundation in core concepts like probability, distributions, and hypothesis testing
- Understand how to interpret and apply statistical findings in real-world business scenarios
Pages: 792 pages
Paperback (ISBN): 9781636516059
Category: Business & Economics
Author: Dhairya Parikh, Shawn Peters, Dr. Bianca Szasz, Vibrant Publishers
Click on individual book titles below to view their complete Table of Contents.
Machine Learning Essentials You Always Wanted to Know
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.
Shawn Peters has 19 years of teaching experience, is certified in Python Programming Teaching from the College of the North Atlantic, and also specializes in JavaScript and Java.
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.
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 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
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This starter pack gives a clear path for anyone aiming for analytics roles. The Python and Machine Learning explanations are practical, and the Business Statistics section really helps in understanding data interpretation for real job scenarios.
The set covers programming, analytics, statistics, and ML in a smooth sequence. It feels organized and beginner-friendly. Case studies helped me understand how these skills apply in industry.
What I appreciated most is the career angle. It doesn’t just teach concepts but shows how Python, analytics, and statistics connect to real analytic roles. Good balance between theory and practical insights.
This bundle is helpful for someone switching into data careers. The explanations are clear and not too technical at the start. Would recommend for self-learners who want a structured approach.
I liked how the books focus on building fundamentals before moving into advanced topics. The examples are relevant and easy to follow. Good resource for students preparing for data-related careers.
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