Applied Marketing Analytics Using Python
Applied Marketing Analytics Using Python
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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 PowerPoint 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.
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 PowerPoint 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.
