Marketing analysis is the process of identifying your potential customers and their buying and spending habits. It helps identify the perfect group of potential customers to market for a particular product or service. The use of data science in marketing analysis helps solve several business problems. For example, customer segmentation, customer personality analysis, budget optimization are major business problems based on marketing analysis where data science is used. If you want to become a data scientist in the marketing domain, you need to know the concepts of marketing and know how to use data science to solve marketing-based business problems. So, if you want to know the best books for learning how to use data science in marketing analysis, this article is for you. In this article, I will introduce you to the best data science books for marketing analysis.
Data Science Books for Marketing Analysis
Hands-On Data Science for Marketing
Hands-On Data Science for Marketing is one of the best data science books for marketing analysis. In this book, you will learn how to analyze marketing strategies with machine learning using the R programming language and Python. Some of the skills you will learn from this book are:
- calculation and visualization of marketing KPIs using Python and R
- understanding strategies for successful marketing campaigns using data science
- predicting customer engagement and lifetime value with machine learning
- using A/B testing for better decision making
- customer segmentation
If you are a marketing professional, a data scientist, or a student who knows the fundamentals of data science, you can use this book to learn the application of data science in marketing. You can find this book here.
Data Science for Marketing Analytics
Data Science for Marketing Analytics is a practical guide to creating marketing strategies with data science using the Python programming language. This book is more beginner-friendly than the book mentioned in the section above. Some of the concepts you will learn from this book are:
- exploring sales and marketing data
- hypotheses testing
- analyzing customer behaviour
- using unsupervised machine learning techniques for customer segmentation
- optimizing your machine learning models with hyperparameter tuning and SMOTE
If you are familiar with the fundamentals of Python and some of the Python libraries such as pandas, NumPy, and matplotlib, you can get started with this book. You can find this book here.
So these were some of the best books for learning about the application of data science in marketing. If you are a data scientist who wants to explore the marketing domain, then you can choose Hands-On Data Science for Marketing, and if you are a beginner who wants to become a data scientist in the marketing domain, then you can choose Data Science for Marketing Analytics. I hope you liked this article on the best data science books for marketing analysis. Feel free to ask your valuable questions in the comments section below.