About the Book
The book is intended to give you a comprehensive understanding of the Sampling Techniques. At the end of this book, you should be able to define the data collection process and choose the sampling technique that works best for your data.
The book is designed in a student-friendly manner and explains the core concepts and terminologies using real-world examples. Remember the time we took our tests and jotted down a list of important points along with some pictorial representations to retain a concept, term or jargon... well we just did that with this book!
This is your go-to book for understanding difficult concepts in Sampling Techniques in a lucid language.
Complimentary chapters included – Types of data collection and Probability for a holistic view of the Sampling Techniques.
Keep on Learning!
About the Author
The author, Shefali Nayak holds a Masters degree in Statistics with 10+ years of work experience in Management Consulting, Strategic Marketing, Credit and Operational Risk Management, Cards and Payments Strategy. All views, illustrations, examples expressed in the book are the author's own creation to make the concepts relatable and easy to understand.
As a data science professional the author specializes in statistical and machine learning modeling, data-driven decision making across various stages of the customer lifecycle, conceptualization and development of cross-sell initiatives, probability of default modeling, portfolio model monitoring, and strategy development for risk management.
The 3 books by the author: What Just Happened? - Descriptive Statistics, Sampling Techniques and Big Data Analytics are an easy gateway to the world of Data Science and explain the common concepts, terminologies in Statistics, ML, AI and Data Science in a very simple manner with real-world examples.