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A Guide on Data Analysis

Preface

This book is an effort to simplify and demystify the complex process of data analysis, making it accessible to a wide audience. While I do not claim to be a professional statistician, econometrician, or data scientist, I firmly believe in the value of learning through teaching and practical application. Writing this book has been as much a learning journey for me as I hope it will be for you.

The intended audience includes those with little to no experience in statistics, econometrics, or data science, as well as individuals with a budding interest in these fields who are eager to deepen their knowledge. While my primary domain of interest is marketing, the principles and methods discussed in this book are universally applicable to any discipline that employs scientific methods or data analysis.

I hope this book provides a valuable starting point for aspiring statisticians, econometricians, and data scientists, empowering you to navigate the fascinating world of causal inference and data analysis with confidence.

How to cite this book

1. APA (7th edition):

Nguyen, M. (2020). A Guide on Data Analysis. Bookdown.

https://bookdown.org/mike/data_analysis/

2. MLA (8th edition):

Nguyen, Mike. A Guide on Data Analysis. Bookdown, 2020. https://bookdown.org/mike/data_analysis/

3. Chicago (17th edition):

Nguyen, Mike. 2020. A Guide on Data Analysis. Bookdown. https://bookdown.org/mike/data_analysis/

4. Harvard:

Nguyen, M. (2020) A Guide on Data Analysis. Bookdown. Available at: https://bookdown.org/mike/data_analysis/

@book{nguyen2020guide,
  title={A Guide on Data Analysis},
  author={Nguyen, Mike},
  year={2020},
  publisher={Bookdown},
  url={https://bookdown.org/mike/data_analysis/}
}

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