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

Learn how to make the right decisions for your business with the help of Python recipes and the expertise of data leaders

Key Features:

• 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

Book 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.

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

Who this book is 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.

學習如何透過Python配方和數據專家的專業知識，為您的業務做出正確的決策。

主要特點：
- 學習和實踐各種聚類技術，以獲取市場洞察力
- 探索商業世界中的實際應用案例，以使學習具體化
- 通過實用的配方來鞏固所學的知識

書籍描述：
數據科學對於幫助企業做出正確的決策是最有價值的貢獻之一。理解這兩個不同世界的複雜交匯，以及激烈競爭的市場，需要您能夠獲得的所有指導。

《數據驅動業務的藝術》是您寶貴的指南，可以獲得以業務為導向的觀點，並利用機器學習（ML）的力量來指導您業務的決策。本書為公司內的多個角色提供了一個共同的討論基礎。

您將首先學習如何使用Python及其眾多的機器學習庫。有經驗的數據科學家可能希望跳過這個簡短的介紹，但您很快就會進入本書的核心，通過可以自行解決的真實商業問題，探索使用Python進行機器學習在業務決策領域中的多種應用方式。隨著您的進步，您將獲得有關ML對您業務的價值的實用見解，以及應用各種經過驗證的ML方法的技術能力。

通過閱讀本書，您將學到基於數據驅動方法做出業務決策的價值，並具備在現實世界中應用所學Python技能的能力。

您將學到：
- 使用seaborn庫創建有效的儀表板
- 預測客戶是否會取消訂閱服務
- 使用pandas分析關鍵價格指標
- 向客戶推薦合適的產品
- 確定促銷活動的成本和效益
- 使用聚類算法對客戶進行分段

本書適合數據科學家、機器學習工程師和開發人員、數據工程師以及業務決策者，他們希望應用數據科學優化業務流程並開發實施以業務為導向的數據科學項目所需的技能，包括市場營銷、銷售、定價、客戶成功、廣告技術等。其他希望探索如何使用數據科學來改善業務運營的專業人士，以及具有技術技能並希望以強有力的業務案例支持其技術提案的個人，也會發現本書很有用。