{"product_id":"data-analytics-for-marketing-a-practical-guide-to-analyzing-marketing-data-using-python-paperback","title":"Data Analytics for Marketing: A practical guide to analyzing marketing data using Python - Paperback","description":"\u003cp\u003eby \u003cb\u003eGuilherme Diaz-B?rrio\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eConduct data-driven marketing research and analysis with hands-on examples using Python by leveraging open-source tools and libraries \u003c\/strong\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eAnalyze marketing data using proper statistical techniques\u003c\/li\u003e\n\u003cli\u003eUse data modeling and analytics to understand customer preferences and enhance strategies without complex math\u003c\/li\u003e\n\u003cli\u003eImplement Python libraries like DoWhy, Pandas, and Prophet in a business setting with examples and use cases\u003c\/li\u003e\n\u003cli\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eMost marketing professionals are familiar with various sources of customer data that promise insights for success. There are extensive sources of data, from customer surveys to digital marketing data. Moreover, there is an increasing variety of tools and techniques to shape data, from small to big data. However, having the right knowledge and understanding the context of how to use data and tools is crucial.\u003c\/p\u003e\u003cp\u003eIn this book, you'll learn how to give context to your data and turn it into useful information. You'll understand how and where to use a tool or dataset for a specific question, exploring the \"what and why questions\" to provide real value to your stakeholders. Using Python, this book will delve into the basics of analytics and causal inference. Then, you'll focus on visualization and presentation, followed by understanding guidelines on how to present and condense large amounts of information into KPIs. After learning how to plan ahead and forecast, you'll delve into customer analytics and insights. Finally, you'll measure the effectiveness of your marketing efforts and derive insights for data-driven decision-making.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll understand the tools you need to use on specific datasets to provide context and shape your data, as well as to gain information to boost your marketing efforts.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eUnderstand the basic ideas behind the main statistical models used in marketing analytics\u003c\/li\u003e\n\u003cli\u003eApply the right models and tools to a specific analytical question\u003c\/li\u003e\n\u003cli\u003eDiscover how to conduct causal inference, experimentation, and statistical modeling with Python\u003c\/li\u003e\n\u003cli\u003eImplement common open source Python libraries for specific use cases with immediately applicable code\u003c\/li\u003e\n\u003cli\u003eAnalyze customer lifetime data and generate customer insights\u003c\/li\u003e\n\u003cli\u003eGo through the different stages of analytics, from descriptive to prescriptive\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eThis book is for data analysts and data scientists working in a marketing team supporting analytics and marketing research, who want to provide better insights that lead to data-driven decision-making. Prior knowledge of Python, data analysis, and statistics is required to get the most out of this book. \u003c\/p\u003eTable of Contents\u003col\u003e\n\u003cli\u003eWhat is Marketing Analytics? \u003c\/li\u003e\n\u003cli\u003eExtracting and Exploring Data with Singer and pandas\u003c\/li\u003e\n\u003cli\u003eDesign Principles and Presenting Results with Streamlit\u003c\/li\u003e\n\u003cli\u003eEconometrics and Causal Inference with Statsmodels and PyMC\u003c\/li\u003e\n\u003cli\u003eForecasting with Prophet, ARIMA, and Other Models Using StatsForecast\u003c\/li\u003e\n\u003cli\u003eAnomaly Detection with StatsForecast and PyMC\u003c\/li\u003e\n\u003cli\u003eCustomer Insights - Segmentation and RFM\u003c\/li\u003e\n\u003cli\u003eCustomer Lifetime Value with PyMC Marketing\u003c\/li\u003e\n\u003cli\u003eCustomer Survey Analysis\u003c\/li\u003e\n\u003cli\u003eConjoint Analysis with pandas and Statsmodels\u003c\/li\u003e\n\u003cli\u003eMulti-Touch Digital Attribution\u003c\/li\u003e\n\u003cli\u003eMedia Mix Modeling with PyMC Marketing\u003c\/li\u003e\n\u003cli\u003eRunning Experiments with PyMC\u003c\/li\u003e\n\u003c\/ol\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 452\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.91 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 10, 2024\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51773361783072,"sku":"9781803241609","price":67.66,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/a434d51c643f72fad96475245f25af5d_098b12eb-5194-43f2-8912-804303e4f25c.webp?v=1780425212","url":"https:\/\/ebocreations.com\/products\/data-analytics-for-marketing-a-practical-guide-to-analyzing-marketing-data-using-python-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}