Are you gearing up for a literature review adventure? Are you beginning your academic journey, this concise checklist book is your guide to mastering the literature review process.
Get a Jumpstart: Planning to dive into a literature review soon? This book offers a quick, no-nonsense introduction to the essentials of the process, giving you a solid overview to kickstart your research.
Derived from the comprehensive "Literature Review Simplified: A Practical Guide for Beginners," this checklist version is your trusty companion. It's designed for those needing quick guidance during their literature review journey.
What's Inside:
- Simplified steps for conducting literature reviews
- A handy reference for the entire process
- Ideal for beginners and experienced researchers
- Expert tips at your fingertips
📖 Don't Wing It, Checklist It! 📖 If you're ready to embark on your literature review adventure, this step-by-step checklist is your map and compass. Ensure you're on the right path from start to finish. Get your copy today and make your literature review journey a breeze!
Rafiq Muhammad has background in healthcare with MBA from SDA Bocconi School of Management, Italy, and holds a Ph.D. in Artificial Intelligence and Machine Learning from Karolinska Institute, Sweden. He has spent the past several years engaging deeply in data analytics and machine learning applications.Rafiq Muhammad is passionate about data science and artificial intelligence and is dedicated to bridging the gap between cutting-edge generative language models and their practical implementations in real life. Rafiq Muhammad has extensive experience in publishing systematic literature reviews in peer-reviewed journals, and teaching and supervising graduate students on how to conduct literature reviews. He also has experience teaching Master Level courses at Karolinska Institute. Rafiq has developed advanced skills in conducting high-quality systematic literature reviews independently (four systematic literature reviews already published and supervised several). During the last 6 years, He has published 10 scientific articles in peer-reviewed academic journals. He has spent the past several years immersing himself in data analytics using artificial intelligence and machine learning, conducting literature reviews, and teaching master-level courses in healthcare. As a medical doctor with expertise in data science, he has the right competence to conceptualize, design, and develop AI applications in healthcare.
