Set of 8 books on business analytics and technology topics with colorful covers.

The Complete Data Science & Business Intelligence Library (8-Book Collection)

Name: Complete Data Science & Analytics Library (7-Book Collection)
Brand: Vibrant Publishers
Price: 129 USD
Availability: InStock

(4.8/5) Rated by 1,500+ Learners

37% OFF Limited-Time Offer

49% $256.60

M.S.R.P: $513.19

Description

Unlock your potential with this comprehensive Set of 7 Books designed to transform your understanding of business, data, and technology. From mastering Business Analytics to diving into Machine Learning and Python Programming, this bundle covers a wide range of essential skills.

Book Highlights:

● Business Statistics Essentials:
● Data Analytics Essentials:
● Business Analytics Essentials:
● Python Essentials:
● Microsoft Power BI Essentials:
● Machine Learning Essentials:
● Data Structures and Algorithms Essentials:
● Business Intelligence Essentials:

This Set of 7 Booksis the ultimate resource for professionals, students, and anyone looking to enhance their understanding of business and tech fundamentals, ensuring you stay ahead in today’s data-driven world.

Bibliographic Details

Trim Size: 5.5” x 8.5”
Paperback (ISBN): 9781636517155
Category: Business & Economics
Author: Ms. Riyanka Jain, Dhairya Parikh, Shawn Peters, Dr. Sini V. Pillai, Bianca Szasz, Ph.D. ,Vibrant Publishers

What's Included

Covers the core concepts of business statistics
Simplifies probability, sampling, and statistical analysis
Demonstrates how statistics inform business decisions
Provides chapter summaries, quizzes, case studies, and further learning resources

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

Introduces the fundamentals of business analytics
Explains descriptive, predictive, and prescriptive analytics
Shows how analytics drives business decision-making
Includes case studies, quizzes, and a glossary

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

Power BI simplified
Structured step-by-step guidance
Real-world case studies
Hands-on training exercises

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

Covers essential data structures and algorithms in Python
Breaks down algorithm efficiency using Big O insights
Reinforces learning with quizzes and coding challenges
Includes downloadable code in Python, Java, C++, and JavaScript

Explores the core components of Business Intelligence (BI)
Teaches how to choose and implement the right BI tools for your organization
Explains data visualization techniques for effective communication
Includes real-world applications of successful BI implementations

Build a Future-Ready Tech Skillset

Develop strong Python coding expertise, understand how data structures enhance algorithms, and create machine learning models to solve complex problems, automate operations, and advance your tech career.

Master Data Analytics and Power BI

Learn how to leverage modern tools to analyze heaps of raw data and visualize it to share it across teams using Microsoft Power BI.

Learn How Businesses Actually Use Data

Understand the statistics behind business data and the analytics that convert those insights into decisions, strategies, and measurable outcomes.

Take Your Learning Beyond the Book

Explore how core strategies are applied in real-world scenarios through top industry case studies and enhance your skills with online resources and downloadable templates designed for hands-on practice.

What Educators Are Saying

Whether you’re a novice or experienced programmer looking to advance your coding skills or problem-solving approach in Python, you’re going to appreciate this book.

Sandra Henry-Stocker

NetworkWorld

The author’s clear intent is to make coding enjoyable and relevant, providing examples that are simple yet significant to help readers follow along.

LooYee NG

Solutions Architect, CTMG

What a great introduction to this topic, especially for a non-programmer like myself! The “Read, See, Do” approach, followed in this book, is a great way to learn Python.

Sharon Peach

B.Sc, B.Ed, M.Ed

Python Essentials is an invaluable resource for scholars seeking not only to learn Python coding but also to develop the mindset of a programmer and problem solver. Regardless of your programming expertise, this book offers significant value.

Paolo Letizia

Ph.D.Associṁess Analytics, University of Tennessee

This Python programming book offers clear explanations, practical examples, and well-structured lessons that progressively build programming skills. The hands-on approach makes complex concepts more accessible. Overall, it’s a comprehensive guide for anyone looking to master Python.

Dr. Sudip Roy

Associate Professor, Department of Computer Science and Engineering

This beginner-friendly guide makes mastering the versatile Python language accessible for everyone. It provides clear explanations and practical examples while avoiding technical jargon, making it perfect for absolute beginners and learners at various skill levels.

Samantha Nichols

coffeeandfaebles

A notable aspect of this book is its emphasis on programmatic thinking. This focus on cognitive skills, combined with the technical content, makes Python Essentials a well-rounded guide for aspiring programmers. This section is valuable for individuals seeking to enhance their skill set and apply Python to their careers.

J. Kromrie

Goodreads Reviewer

One of the standout features of Python Essentials is the inclusion of case studies, which offer a practical glimpse into how Python can be applied in various industries. This real-world context not only enhances comprehension but also keeps motivation high, as readers can envision how these skills can translate into career opportunities.

Heather Hawkins

Goodreads Reviewer

Whether you’re a novice or experienced programmer looking to advance your coding skills or problem-solving approach in Python, you’re going to appreciate this book.

Sandra Henry-Stocker

NetworkWorld

The author’s clear intent is to make coding enjoyable and relevant, providing examples that are simple yet significant to help readers follow along.

LooYee NG

Solutions Architect, CTMG

What a great introduction to this topic, especially for a non-programmer like myself! The “Read, See, Do” approach, followed in this book, is a great way to learn Python.

Sharon Peach

B.Sc, B.Ed, M.Ed

Paolo Letizia

Ph.D.Associṁess Analytics, University of Tennessee

Dr. Sudip Roy

Associate Professor, Department of Computer Science and Engineering

Samantha Nichols

coffeeandfaebles

J. Kromrie

Goodreads Reviewer

Heather Hawkins

Goodreads Reviewer

The Most Complete Data Science Library I've Found at This Price Point

Eight books covering Python programming, data structures and algorithms, business statistics, data analytics, business analytics, machine learning, Power BI, and business intelligence — all from authors with genuine industry and academic expertise, for significantly less than buying each book separately. This collection is simply outstanding value. I used it as a structured twelve-week self-study program, working through the books in a logical sequence from Python fundamentals through to BI implementation. Shawn Peters' Python and DSA books, Dhairya Parikh's ML book, and Dr. Sini V. Pillai's Power BI coverage each stand out individually — together they form a genuinely comprehensive data science education.

The DSA Book Is What Surprised Me Most — Outstanding for Interview Prep

I bought this collection primarily for the data analytics, ML, and BI content, but Data Structures and Algorithms Essentials by Shawn Peters turned out to be one of the strongest books in the set. The real-world examples — including caching, file systems, and dynamic programming analogies — make abstract concepts accessible in a way that most DSA books don't achieve. Paired with Python Essentials, these two books gave me the coding and algorithmic foundation that dramatically improved my performance in technical interviews. The rest of the collection — statistics, analytics, ML, Power BI, and BI — covered my professional skills comprehensively. Getting all eight at a significant discount over individual prices made this an easy decision.

Assigned This Library Across Three Graduate Courses I Teach

I teach three courses at a business school — Business Analytics, Data Management, and Decision Support Systems — and this collection has become the supplementary library I recommend to students enrolled in any of the three. Business Analytics Essentials by Riyanka Jain is particularly well-suited for graduate-level analytics courses: it bridges theory and application in a way that textbooks often don't. Business Statistics Essentials and Data Analytics Essentials support the quantitative methods and data management modules. Machine Learning Essentials and Power BI Essentials serve the more advanced elective students. Having all eight books in one discounted collection made it feasible for students to purchase the full library. A 4 because a few books could benefit from updated dataset examples, but the collection as a whole is exceptional value.

Used This Collection to Build an Entire Data Science Bootcamp Curriculum

I run an internal data science upskilling program at a financial services company and was looking for a single cohesive resource library that could support learners from absolute beginner to practicing analyst. This 8-book collection does exactly that. Python Essentials and Data Structures and Algorithms Essentials handle the programming foundation. Business Statistics Essentials and Data Analytics Essentials build the quantitative and analytical layer. Machine Learning Essentials and Business Analytics Essentials deliver the applied modeling and decision-making content. Microsoft Power BI Essentials and Business Intelligence Essentials complete the picture with practical BI skills. The cohort outcomes since adopting this collection have been measurably better than any previous curriculum we ran.

The Microsoft Power BI Book Is the Most Practical BI Resource I've Found

I've been searching for a Power BI book that goes beyond button-clicking tutorials to explain data transformation, data modeling, and how to design dashboards that actually support business decisions. Microsoft Power BI Essentials by Dr. Sini V. Pillai delivered on all three — her 15-plus years of academic and practical BI experience are evident in how the content is grounded in real organizational scenarios. The rest of the collection is equally strong: Business Statistics Essentials and Machine Learning Essentials filled important gaps in my quantitative skills, and Business Intelligence Essentials gave me the broader BI strategy and governance context I needed. A genuinely well-curated eight-book set.

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$256.60

The Complete Data Science & Business Intelligence Library (8-Book Collection)

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What's Included

Build a Future-Ready Tech Skillset

Master Data Analytics and Power BI

Learn How Businesses Actually Use Data

Take Your Learning Beyond the Book

What Educators Are Saying

Customer Reviews