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Data Structures and Algorithms, Python, Data Analytics, and Machine Learning Essentials You Always Wanted to Know: Beginner-Friendly Guides With Real-World Examples and Case Studies – Set of 4 Books
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Data Structures and Algorithms, Python, Data Analytics, and Machine Learning Essentials You Always Wanted to Know: Beginner-Friendly Guides With Real-World Examples and Case Studies – Set of 4 Books
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Build a clear, step-by-step learning path—from writing clean Python to solving real-world problems in analytics and machine learning—with this practical 4-book combo. Designed for beginners, career switchers, and early-career professionals, each book uses simple explanations, quizzes, and practical case studies so you learn by doing.
Data Structures and Algorithms Essentials You Always Wanted to Know
- Master Big O notation, performance thinking, and algorithmic problem-solving
- Explore arrays, stacks, queues, linked lists, hash tables, trees, and graphs with Python examples
- Apply recursion, dynamic programming, and greedy strategies through realistic scenarios and case studies
Python Essentials You Always Wanted to Know
- Learn core Python syntax, control flow, functions, and modular programming
- Build object-oriented programming skills and practical error handling for real projects
- Reinforce learning with a dedicated case-studies chapter to apply concepts end-to-end
Data Analytics Essentials You Always Wanted to Know
- Analytics types, processes, tools, and methodologies explained simply
- Big data fundamentals, plus ethical, legal, and privacy considerations
- Real-world case studies, chapter summaries, and self-assessment tests
Machine Learning Essentials You Always Wanted to Know
- Discover what machine learning is, how it evolved, and where it shows up in everyday products
- Learn the ML workflow—data, models, training, and evaluation—with beginner-friendly explanations
- Explore supervised and unsupervised learning, plus an introduction to deep learning
Whether you’re starting from scratch or upskilling, this set provides a complete learning track—clear, practical, and grounded in real-world examples.
Pages: 1134 pages
Paperback (ISBN): 9781636516981
Ebook (ISBN): 978V123456822
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
Python Essentials You Always Wanted to Know
Data Analytics Essentials You Always Wanted To Know
Data Structures and Algorithms 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.
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What stands out is the focus on practical application. The examples in the analytics and ML books connect theory to industry use cases. It feels designed for real-world readiness rather than just academic learning.
This 4-book set gives a strong foundation in programming and data science. I especially appreciated how Data Structures and Python are explained in simple language before moving into analytics and machine learning. The real-world case studies make concepts practical and relatable.
The sequence of topics across the four books feels very intentional. Python basics transition smoothly into analytics and ML concepts. It’s ideal for students or professionals switching into tech. Clear explanations without unnecessary jargon.
I used this set for self-study, and it worked very well. Concepts are broken down step by step, and the practice exercises reinforce understanding. A very good starter pack for aspiring data professionals.
This bundle manages to stay beginner-friendly while still covering important technical depth. The Data Structures explanations are particularly clear, and the ML book simplifies complex ideas effectively. Highly useful for students.
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