Time Series Analysis With Stock Prices

Learn how to analyze historical stock price data using advanced time series techniques to forecast future trends and make informed investment choices.

Get hands-on experience working with real-world stock price datasets. Apply cutting-edge time series models and gain practical insights into predicting market movements.

Speaker: Abdullah Karasan

Short Bio: Abdullah Karasan holds a Master's Degree in Applied Economics from the University of Michigan, Ann Arbor and a PhD from Financial Mathematics from Middle East Technical University. He started his career as a treasury controller and has since worked as a data science mentor, instructor, and principal data scientist at different companies including Springboard and O'Reilly. Currently, he is working as senior data science consultant at TFI TAB Food Services and faculty at UMBC. His research and publications in the field of financial data science have been well-received, and his book, "Machine Learning for Financial Risk Management with Python" has been published by O'Reilly. With his expertise in financial data science, Abdullah Karasan is a valuable asset to any organization. He is the founder of Leveragai.