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It is vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value and achieve success. Taking a very hands-on approach with the use of real-world datasets, case studies and Python, this book supports students and practitioners to explore a range of marketing phenomena using various applied analytics tools, with a balanced mix of technical coverage alongside marketing theory and frameworks. Supporting online resources include datasets and software codes and solutions as well as Power Point slides, a teaching guide and a testbank. This book is essential reading for advanced level marketing students and practitioners who want to become cutting-edge marketers. Dr Gokhan Yildirim is an Associate Professor of Marketing at Imperial College Business School, London. Dr Raoul V. Kübler is an Associate Professor of Marketing at ESSEC Business School, Paris.
Applied Marketing Analytics Using Python | Yildirim, Gokhan
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Yildirim, Gokhan; Kubler, Raoul V. Forlag/Utgiver. SD Books. Format. Pocket. Språk. Engelsk. Utgivelsesår.
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Applied Marketing Analytics Using Python by Gokhan Yildirim Paperback Book ; Author Gokhan Yildirim, Raoul V. Kübler ; Format Paperback ; Year 2025 ; Pages 384 .
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Applied Marketing Analytics Using Python. First Edition. by Gokhan . A Resource Pack with all the student and instructor resources supporting this book .
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Volume 1 / Number 2 / Winter 2014–15 - Applied Marketing Analytics
Applied Marketing Analytics is . Book review. Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science by Thomas W Miller.
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