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

 
9781804611036: The Art of Data-Driven Business: Transform your organization into a data-driven one with the power of Python machine learning

Synopsis

Learn how to make the right decisions for your business with the power of Python machine learning

Key Features

  • Use the power of Python machine learning to make the right business decisions
  • Follow 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 uses of data science is in helping businesses make the right decisions. This is a complicated confluence of two disparate worlds, as well as a fiercely competitive market, so you’ll need all the guidance you can get.

Whether you’re a data scientist wanting to get a business-driven perspective, or you want the decisions in your business to be guided by the power of machine learning, The Art of Data-Driven Business Decisions will be your invaluable guide.

We start 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 we soon get into the meat of the book and look at the many and varied ways machine learning with Python can be applied to the domain of business decisions through real-world business problems that you can tackle yourself. You will gain priceless practical insights into the value that machine learning can provide to your business, as well as the technical ability to apply a wide variety of tried and tested machine learning methods.

By the end of this book, you will have learned the value of basing business decisions on data-driven methodologies, and you will have the Python skills to apply what you’ve learned in the real world.

What you will learn

  • Scrape web pages for their data with Python
  • Create effective dashboard with Seaborn
  • Predict whether a customer will cancel a 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
  • Use NLP and Scikit-Learn to improve digital advertisements

Who This Book Is For

The primary audience are data scientists, machine learning engineers and developers, data engineers, and business decision makers. They want to learn the skills to implement data science projects in the areas of marketing, sales, pricing, customer success, adtech, and more from a business perspective. They want to apply data science for business processes optimization. This book intends to provide a common ground of discussion for several audience profiles within a company. Book is for business people seeking to improve their knowledge on how can data science can be used to improve business operations, and for individuals with technical skills who want to implement successful data science projects within a company and want to back their technical proposal with a strong business case.

Table of Contents

  1. Data Analysis and Visualization with Pandas and Seaborn
  2. Machine Learning with Sci-Kit Learn
  3. Market Trend Insights
  4. Customer and Product Segmentation
  5. Estimating Customer Satisfaction
  6. Predicting Churn and Conversion
  7. Performing Pricing Analytics
  8. Forecasting Sales and Recommending Products
  9. Optimizing Promotion and Stock
  10. Improving Digital Marketing Strategy
  11. Interviewing Business Leaders

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About the Author

Alan Bernardo Palacio is a data scientist and an engineer with vast experience in different engineering fields. His focus has been the development and application of state-of-the-art data products and algorithms in several industries. He has worked for companies such as Ernst and Young, Globant, and now holds a data engineer position at Ebiquity Media helping the company to create a scalable data pipeline. Alan graduated with a Mechanical Engineering degree from the National University of Tucuman in 2015, participated as the founder in startups, and later on earned a Master's degree from the faculty of Mathematics in the Autonomous University of Barcelona in 2017. Originally from Argentina, he now works and resides in the Netherlands.

"About this title" may belong to another edition of this title.

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Paperback. Condition: New. Learn how to make the right decisions for your business with the help of Python recipes and the expertise of data leadersKey FeaturesLearn and practice various clustering techniques to gather market insights Explore real-life use cases from the business world to contextualize your learningWork your way through practical recipes that will reinforce what you have learnedBook DescriptionOne 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 learnCreate effective dashboards with the seaborn libraryPredict whether a customer will cancel their subscription to a serviceAnalyze key pricing metrics with pandasRecommend the right products to your customersDetermine the costs and benefits of promotionsSegment your customers using clustering algorithmsWho this book is forThis 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. Seller Inventory # LU-9781804611036

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