Machine Learning, Python & Data Analytics Essentials

What you’ll learn – supervised, unsupervised, and reinforcement learning

Python programming guide – core concepts and coding fundamentals

Beginner AI and machine learning roadmap with Python and data analytics

Machine Learning, Python & Data Analytics Essentials

Name: Machine Learning, Python & Data Analytics Essentials
Brand: Vibrant Publishers LLC
SKU: 9781636516028
Price: 9500.00 INR
Availability: InStock
Rating: 4.71 (83 reviews)

Master AI, Data Science, and Analytics for Career Growth | Comprehensive Combo for Beginners & Professionals (Set of 3 Books)

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Description

Most data science journeys start with Python, move into data analytics, and lead to machine learning. This combo brings all three together in one easy-to-follow package:

Python Essentials gives you coding confidence from scratch
Data Analytics Essentials teaches you how to find insights in data
Machine Learning Essentials shows you how to make predictions and automate decisions

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
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: 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
Get a deep understanding of object-oriented programming principles, which are vital skills for writing clean, scalable, and reusable Python code
Stay ahead of the curve by diving into exciting fields like AI, Machine Learning, and IoT with Python

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
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

Click here to learn more about the book

Bibliographic Details

Pages: 792 pages

Paperback (ISBN): 9781636516028

Category: Business & Economics

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

What's Included

Explore our curated collection.

Machine Learning Essentials

Simplifies ML without heavy math or jargon
Covers supervised, unsupervised, and reinforcement
Introduces neural networks and deep learning basics
Includes ethics and best practices in machine learning

Python Essentials

Guides absolute beginners through Python fundamentals
Explains object-oriented and modular programming clearly
Shows Python applications in data analysis and business
Features an online glossary of Python functions and methods

Data Analytics Essentials

Simplified introduction to data analytics
Best practices and modern tools explained
Application-based learning
Case studies of top companies

Are sample chapters available before purchase?

Yes. Free sample chapters for all three books are available upon request on this page, allowing you to explore the content before purchasing.

Is this combo suitable for absolute beginners?

Absolutely. This 3-book combo is designed specifically for beginners with no prior experience in programming, analytics, or data science. Python Essentials starts with the basics and gradually builds your coding skills, while Data Analytics Essentials and Machine Learning Essentials introduce core concepts in a clear, easy-to-follow manner.

Which book should I read first?

We recommend starting with Python Essentials to build a strong foundation in programming. Once you're comfortable with the basics, move on to Data Analytics Essentials to understand how data is analyzed and used to support business decisions. Finally, explore Machine Learning Essentials to learn predictive modeling techniques and key AI concepts.

Do I need a background in math or statistics to read the Machine Learning book ?

No. Machine Learning Essentials explains supervised, unsupervised, reinforcement learning, neural networks, and deep learning without heavy math, using clear examples from healthcare, education, and finance.

How is this different from other online courses?

This combo gives you a structured, sequential learning path across three subjects in one package Python, analytics, and ML written by industry experts and academic experts. Unlike video subscriptions, you own the books permanently and can annotate, revisit, and reference them anytime.

What career roles does this combo prepare me for?

This combo helps prepare you for entry-level roles in data analytics, business intelligence, data science, machine learning, and AI-related fields. It is also valuable for professionals looking to upskill in areas such as product management, software development, and research.

Still have a question? Our team is here to help.

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Table of Contents

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

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.

Editorial Reviews

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

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