Writing Research Papers In Data Science

Research is a careful and detailed study into a specific problem, concern, or issue using the scientific method. It provides the building block upon which societal growth and advancement is hinged. Research also helps us study patterns in the past, feelings, attitudes, opinions and then use it to determine what should happen next.

The business world is heavily informed by academic research. Businesses use research to understand markets and make profitable decisions. Research has left an indelible mark on society and will forever be the basis for any genuine advancement in human society.

In this webinar, you will learn about how to effectively write research papers from someone who has written nearly 30 or more research papers!

Speaker Information

Dr. Ceni Babaoglu, Assistant Program Director, Data Science, Ryerson University
https://www.linkedin.com/in/cenibabaoglu/

Dr. Ceni's research interests include statistical machine learning, data mining and deep learning. Ceni is teaching Data Analytics courses in the "Data Analytics, Big Data, and Predictive Analytics Certificate Program" and "Data Science and Analytics, Masters Program." Ceni is also the second reader of all the M.Sc. Data Science Major Research Projects.

Five years ago, inspired after visiting the Data Science Laboratory at Ryerson, she shifted her focus to data. Some of her papers in data science involve projects with industrial partners such as Globe and Mail, Manulife, St. Mike’s Hospital, and Toronto Police Services.
Ceni is an amazing speaker and her publications can be found at:
https://www.cenibabaoglu.com/publications