Python and R Advanced Statistics Course (PYR103)
This PYR103 course is designed to provide you with training environment for advanced statistics such as discriminant analysis for classification, principal component analysis for dimensionality reduction, clustering, and general linear regression modeling by using Python and R software. Statistics is a core component in AI and the understanding of statistics concepts and methodology is essential. The objective of level 3 is to learn concepts, method, and applications to be familiar with advanced statistics methods and algorism through using both Python (with Anaconda and Spyder) and R training business cases. Once you complete this course, you can step-up to next level in AI series.
Masatoshi Hirakata has more than 20 years of leadership experience in various business units' functions and management positions in Asia Pacific and international IT business area. He earned a BA in Electrical & Electronics Engineering from Sophia University and an MA in Economics from Temple University Japan. He has been teaching in the Continuation Education program at Temple University for more than 10 years. Recently he started a series of AI and statistics courses using Python and R. He also enjoys Skiing for many years and has recently become interested in Skiing as a lifetime sport and its relationship with preventive medicine. He studied physical conditioning, fitness methodology, and skiing technical reference at Canadian Sport Business Academy. He holds SAJ Skiing class 1 certificate, Canadian Skiing Instructor Association Level 2 certificate, and Avalanche Skill Training 1 certificate from Avalanche Canada.
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