Unveiling the mysteries of knowledge through meticulous observation and insightful analysis - that’s what “Learning From Data” promises Malaysian researchers. This book, penned by the esteemed Malaysian academic Dr. Aishah Bt. Ibrahim, delves into the complex world of research methodologies, equipping readers with a comprehensive toolkit to navigate the intricate pathways of data analysis.
A Tapestry of Methodological Approaches:
Dr. Ibrahim masterfully weaves together diverse threads of research methodologies, presenting them in a clear and accessible manner. From the foundational principles of quantitative and qualitative research to the intricacies of statistical analysis and data visualization, “Learning From Data” offers a panoramic view of the research landscape.
Imagine yourself standing before a vast canvas, each brushstroke representing a distinct methodology: surveys, interviews, experiments, observational studies – each method imbued with its own unique strengths and limitations. Dr. Ibrahim acts as your astute guide, illuminating the nuances of each approach, helping you discern which brushstrokes best serve your research vision.
Demystifying Statistical Analysis:
The realm of statistics can often seem daunting, a labyrinthine maze of numbers and formulas. Yet, Dr. Ibrahim skillfully demystifies these complexities, transforming statistical concepts into approachable tools. She introduces readers to essential statistical techniques such as descriptive statistics, hypothesis testing, correlation analysis, and regression modeling.
Think of it like learning a new language – initially, the grammar and vocabulary may seem overwhelming. But with Dr. Ibrahim’s patient guidance, you’ll soon find yourself conversing fluently in the language of statistics, deciphering the hidden narratives embedded within data sets.
A Malaysian Lens on Global Research:
While “Learning From Data” draws upon internationally recognized research methodologies, it also embraces a distinctly Malaysian perspective. Dr. Ibrahim weaves in examples and case studies relevant to the Malaysian context, making the concepts tangible and relatable for local researchers.
This cultural grounding ensures that the book resonates deeply with Malaysian readers, equipping them with tools tailored to their specific research needs and interests.
Production Features:
Published by Universiti Malaya Press in 2018, “Learning From Data” boasts a polished and professional design. The text is presented in a clear and concise font, making it easy on the eyes during extended reading sessions. Informative diagrams, tables, and figures complement the textual content, further enhancing understanding.
The book is available both in print and as an e-book, offering flexibility for readers who prefer digital formats. A comprehensive glossary of key terms and a detailed index facilitate quick reference and navigation.
Feature | Description |
---|---|
Edition | First Edition (2018) |
Publisher | Universiti Malaya Press |
Format | Print & eBook |
Pages | 350 |
Who Should Read “Learning From Data”?
This book serves as an invaluable resource for a wide range of individuals:
- Undergraduate and graduate students pursuing research-intensive degrees in fields such as social sciences, humanities, education, business, and engineering.
- Researchers across various disciplines seeking to enhance their data analysis skills and methodological understanding.
- Practitioners in diverse sectors who rely on data-driven decision making, including policymakers, healthcare professionals, and market analysts.
A Lasting Legacy:
“Learning From Data” is not merely a textbook; it’s a testament to Dr. Aishah Bt. Ibrahim’s dedication to fostering research excellence within Malaysia. Her meticulous scholarship and clear pedagogical approach empower readers to become confident and competent researchers, equipped to make meaningful contributions to their respective fields. Like a master artist unveiling a masterpiece, Dr. Ibrahim illuminates the path towards knowledge discovery, leaving an indelible mark on the Malaysian research landscape.