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Key benefits

Learn and practice various clustering techniques to gather market insights Explore real-life use cases from the business world to contextualize your learning

Work your way through practical recipes that will reinforce what you have learned

Description

One of the most valuable contributions of data science is toward helping businesses make the right decisions. Understanding this complicated confluence of two disparate worlds, as well as a fiercely competitive market, calls for all the guidance you can get. The Art of Data-Driven Business is your invaluable guide to gaining a business-driven perspective, as well as leveraging the power of machine learning (ML) to guide decision-making in your business. This book provides a common ground of discussion for several profiles within a company. You’ll begin by looking at how to use Python and its many libraries for machine learning. Experienced data scientists may want to skip this short introduction, but you’ll soon get to the meat of the book and explore the many and varied ways ML with Python can be applied to the domain of business decisions through real-world business problems that you can tackle by yourself. As you advance, you’ll gain practical insights into the value that ML can provide to your business, as well as the technical ability to apply a wide variety of tried-and-tested ML methods. By the end of this Python book, you’ll have learned the value of basing your business decisions on data-driven methodologies and have developed the Python skills needed to apply what you’ve learned in the real world.

Who is this book for?

This book is for data scientists, machine learning engineers and developers, data engineers, and business decision makers who want to apply data science for business process optimization and develop the skills needed to implement data science projects in marketing, sales, pricing, customer success, ad tech, and more from a business perspective. Other professionals looking to explore how data science can be used to improve business operations, as well as individuals with technical skills who want to back their technical proposal with a strong business case will also find this book useful.

What you will learn

Create effective dashboards with the seaborn library

Predict whether a customer will cancel their subscription to a service

Analyze key pricing metrics with pandas

Recommend the right products to your customers

Determine the costs and benefits of promotions

Segment your customers using clustering algorithms

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Modern Time Series Forecasting with Python

£39.99

£23.99

£31.99

Total £ 95.97

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Steven Fernandes Feb 13, 2023

This book presents a comprehensive guide to various data analysis and visualization techniques, utilizing the Python libraries Pandas and Seaborn, including machine learning with Sci-Kit Learn, customer and product segmentation, estimating customer satisfaction, predicting churn and conversion, performing pricing analytics, forecasting sales, and optimizing promotion and stock. The book also includes a focus on improving digital marketing strategy, creating effective dashboards with Seaborn, and interviewing business leaders. Additionally, it provides practical applications, such as predicting customer cancellations, recommending products to customers, and analyzing pricing metrics. Lastly, it covers segmentation using clustering algorithms and determining the costs and benefits of promotions.

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Nikhil Feb 13, 2023

This book explains how we can make the most of the data by optimising solutions in our day to day business problems. This hands-on approach provides the reader with a tangible understanding of the value that data-driven methodologies can bring to a business. The book is well-suited for business decision-makers who want to apply data solutions to their business processes. The book's clear explanations and practical examples make it an invaluable resource for anyone looking to gain a deeper understanding of the topic.

Ian Klosowicz Mar 08, 2023

This book is an excellent resource for anyone who wants to learn how to use Python and its many libraries for machine learning. One of the best things about this book is that it provides real-world business problems which are very valuable if you want to create a portfolio. Overall, it's a great book to add to your data toolbelt!

Emmanuel Elom Oct 16, 2023

Leveraging data-driven insights is essential in the dynamic world of modern business. The full spectrum of data analytics and its applications is covered in this book. These topics enable businesses to make wise judgments, from machine learning for optimizing corporate operations to Python-based data analysis and visualization, comprehending market insights, client preferences, and price elasticity. The critical role data plays in encouraging success and progress in the corporate sector is further highlighted by investigating topics like customer segmentation, web analytics, and developing a data-driven culture. Finally, I would suggest the book to anyone attempting to circumvent the issues with real-world data analytics.

Tynan Mar 09, 2023

Super informative, giving tutorials on useful analysis code from import to finish. Super clear an concise directions.

The Art of Data-Driven Business: Transform your organization into a data-driven one with the power of Python machine learning

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