Fundamentals of Data Science

Dr. Jugal Kalita received his BTech degree from the Indian Institute of Technology in Kharagpur, India, his MS degree from the University of Saskatchewan, Canada, and his MS and PhD degrees from the University of Pennsylvania. He is a Professor of Computer Science at the University of Colorado at Colorado Springs. His research interests include machine learning and its applications to areas such as natural language processing, intrusion detection, and bioinformatics. He is the author of more than 250 research articles in reputed conferences and journals and has authored four books, including Network Traffic Anomaly Detection and Prevention from Springer, Gene Expression Data Analysis: A Statistical and Machine Learning Perspective from Chapman and Hall/CRC Press, and Recent Developments in Machine Learning and Data Analytics from Springer. He has received multiple National Science Foundation (NSF) grants Dr. Dhruba K. Bhattacharyya received his PhD in Computer Science and Engineering from Tezpur University. Currently, he is a Senior Professor in the Department of Computer Science & Engineering, Tezpur University, and also the Dean of Academic Affairs. Dr. Bhattacharyya’s major research interests are Machine Learning, Cyber Security, and Bioinformatics, and in all these three fields his contributions are significant. Dr. Bhattacharyya has published more than 260 research articles in peer-reviewed international journals and selective conference proceedings. Dr. Bhattacharyya has authored/edited 18 reference books on machine learning and its applications, including Network Traffic Anomaly Detection and Prevention from Springer, Gene Expression Data Analysis: A Statistical and Machine Learning Perspective from Chapman and Hall/CRC Press, Data Mining Techniques and Its Application in Medical Imagery from VDM, and Clustering Techniques in Spatial Data Analysis from Lambert Academic Publishing. Dr. Bhattacharyya is on the review panel for most major research grants reviewed by the Department of Science & Technology, Government of India, and several international funding agencies. Machine learning research at Tezpur University, led by Dr. Bhattacharyya, has been recognized by the Indian Ministry of Education as a Centre of Excellence, one among twenty in India. Dr. Bhattacharyya is a fellow of the Institution of Electronics and Telecommunication Engineers, and Institution of Engineers, and is a Senior Member of IEEE. He is also on the Editorial/Advisory Boards of several international journals, conferences, and workshops Swarup Roy is a Professor in Computer Science at Sikkim (Central) University, Gangtok. He received his M.Tech. and PhD (Comp. Sc. & Engg.) from Tezpur (Central) University. He worked as a Post-Doctoral Fellow (PDF) at University of Colorado at Colorado Springs, USA and Indian Institute of Technology (IIT), Guwahati. His research interest includes Machine Learning, Data Science, Network Science, Intrusion Detection and Computational Biology. He has published 80+ research articles in high impact international journals and leading world conferences across the globe in machine learning and bioinformatics. He authored the book “Biological Network Analysis- Trends, Approaches, Graphical Theory and Algorithms” published by Elsevier, USA . He was a recipient of Best Doctoral Thesis Award from IIT-Roorkee and University Gold Medal. He was selected for Overseas Research Associate Fellowship from DBT, Govt. of India in 2015 to conduct research in the foreign laboratories and funding from DST-SERB to visit SPAIN in 2012 to present his research paper. He taught undergraduate and graduate students of computer science at University of Colorado, USA as visiting professor. He has been listed as a data science subject expert by the Department of Science & Technology-Govt of India. He acted as Track Co-Chair for Biological Modelling at 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) 2017, Boston, USA. He is acting as Guest Editor of International Journals such as MDPI Data, MDPI Life, Frontier in Bioinformatics and in the technical committee of many reputed International Journals.

1. Introduction
2. Data, sources, and generation
3. Data preparation
4. Machine learning
5. Regression
6. Classification
7. Artificial neural networks
8. Feature selection and extraction
9. Cluster analysis
10. Ensemble learning
11. Association-rule mining
12. Big-Data analysis
13. Data Science in practice
14. Conclusion