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
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
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
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
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
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
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
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
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
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

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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Description

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.

Bibliographic Details

Pages: 1134 pages

Paperback (ISBN): 9781636516981

Ebook (ISBN): 978V123456822

Category: Business & Economics

Author: Dhairya Parikh, Shawn Peters, Dr. Bianca Szasz, Vibrant Publishers

Table of Contents
Author

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.

Series

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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