12 Must-Read Books For Data Science Entrepreneurs

Entrepreneurship and innovation are the two things which are currently growing with the increasing amount of data. Specifically, entrepreneurship is defined as “the creation, discovery, and exploitation of value-adding opportunities”. In the current scenario, business analysts and data science professionals are urged to think in an entrepreneurial way due to the increasing complexities of data as well as data-driven models.

In this article, we list down 12 must-read books for every data science entrepreneur.  


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1| AI And Analytics, Accelerating Business Decisions

About: Written by Sameer Dhanrajani, Chief Strategy Officer at Fractal Analytics, this book acts as a primer for CXOs and entrepreneurs for curating, developing and executing AI and Analytics strategies in their enterprises for end-to-end transformative impact. In this book, you will understand exhaustive repertoire of AI and Analytics strategy roadmaps, frameworks and methodologies for CXOs, coupled with broad exhibit plan of making the enterprises AI ready, comprehensive overview of the algorithm economy and its deep transformative potential of morphing enterprises, understand the provoking facets of pervasive AI and Analytics interventions in exponential technologies such as chatbots, RPA, IoT, cybersecurity, blockchain, cryptocurrency and other such.

Price: ₹461.00 (Hardcover) and ₹368.80 (Kindle).

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2| Big Data MBA: Driving Business Strategies with Data Science

About: This book is written by Bill Schmarzo and brings insight and expertise to leveraging big data in business. It helps identify where and how big data can help you transform one’s business. You’ll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimise key processes, uncover monetisation opportunities, and create new sources of competitive differentiation.

Price: ₹636.00 (Paperback) and ₹329.81 (Kindle).

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3| Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python

About: Written by Thomas W Miller, this book addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. You will learn the role of analytics in delivering effective messages on the web, understanding the web by understanding its hidden structures, visualising networks and understanding communities within them, measuring sentiment and making recommendations, leveraging key data science methods such as databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, text analytics and other such.  

Price: ₹5,847 (Paperback) and ₹433 (Kindle).

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4| Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

About: The author of this book is Eric Siegel. This book reveals how predictive analytics works, and how it affects everyone every day. It serves readers and experts by covering new case studies and the latest state-of-the-art techniques. You will learn analytics like how to predict which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves, why the NSA wants all your data: machine learning supercomputers to fight terrorism, how IBM’s Watson computer used predictive modelling to answer questions and beat the human champs on TV’s Jeopardy!, and much more.

Price: ₹1000.00 (Paperback) and ₹366.98 (Kindle).

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5| Engineering Entrepreneurship from Idea to Business Plan

About: Written by Paul Swamidass, this book is meant for the engineers and scientists who are willing to create new products that could become income-producing businesses for themselves and for investors. The main feature of this book is to enable the readers to sharpen their new idea, turn an idea into a commercial product, conduct a patent search and complete a provisional patent application, and collect requisite data and prepare a business plan based on a carefully selected business model. 

Price: ₹2289.00 (Paperback) and ₹1696.09 (Kindle).

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6| Data Science (MIT Press Essential Knowledge Series) 

About: This book is written by author John D. Kelleher which not only introduces the emerging field of data science but also explains its evolution, current use cases, and other data infrastructure-related issues and ethical challenges. This book also offers an introduction of fundamental data concepts and describes the stages in a data science project, discusses how to link machine learning expertise with real-world problems and much more.

Price: ₹781.85 (Kindle version).

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7| Applied Artificial Intelligence: A Handbook For Business Leaders

About: This book is written by Mariya Yao, Adelyn Zhou and Marlene Jia. It is a practical guide for business leaders who are passionate about leveraging machine intelligence to enhance the productivity of their organisations. Here, you will learn how to distinguish true value from AI hype, identify the best business case for AI adoption and evaluate opportunities, best business use cases for AI established so far, how to find and recruit top AI talent for my enterprise, how incorporating AI into business increase revenue or decrease costs and much more.

Price: ₹1,662.00 (Paperback) and ₹0.00 (Kindle unlimited).

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8| Data Science For Business

About: Written by data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science. This book helps in data-analytic thinking which is necessary for extracting useful knowledge and business value from the collected data. It will help you to learn how to improve communication between business stakeholders and data scientists, discover how to think data-analytically and fully appreciate how data science methods can support business decision-making, understand how data science fits in your organisation – and how you can use it for competitive advantage, approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way, apply data science principles when interviewing data science job candidates, and much more.

Price: ₹950.00 (Paperback) and ₹471.45 (Kindle).

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9| Data Smart: Using Data Science to Transform Information into Insight

About: Written by author and data scientist John Foreman, this book depicts the use of spreadsheets and is mainly for those who are serious about learning analytics techniques, the math and the magic, behind big data. In this book, each chapter covers a different technique in a spreadsheet such as mathematical optimisation including non-linear programming and genetic algorithms, clustering via k-means, spherical k-means, and graph modularity, data mining in graphs such as outlier detection, supervised AI through logistic regression, ensemble models, and bag-of-words models,forecasting, seasonal adjustments, and prediction intervals through Monte Carlo simulation and other such. 

Price: ₹1600.00 (Paperback) and ₹663.10 (Kindle).

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10| The Art of Data Science 

About: Written by Roger Peng and Elizabeth Matsui, this book describes the process of analysing data. You will learn epicycles of analysis, exploratory data analysis, how to use models to explore data, factors affecting the quality of inference, principles of interpretation and much more.

Price: ₹1479.00 (Paperback).

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11| Data Science for Business

About: Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualisation, Regression Analysis, Database Querying is written by Herbert Jones. In this book, you will learn how Big Data works and why it is so important, how to do explorative data analysis, how to use data science to help your business grow and tips to get started with data science. 

Price: ₹944.00 (Paperback)

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12| Practical Statistics for Data Scientists: 50 Essential Concepts

About: Written by Peter Bruce, this book is a practical guide for the most important part of data science, statistics. The book explains how to apply various statistical methods to data science, how to avoid their misuse and which one is important. You will also learn why exploratory data analysis is a key preliminary step in data science, how the principles of experimental design yield definitive answers to questions, how to use regression to estimate outcomes and detect anomalies, statistical machine learning methods that “learn” from data, and much more.

Price: ₹925.00 (Paperback) and ₹835.05 (Kindle).

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Ambika Choudhury
A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.

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