Teaching

During my academic career I have gained a lot of experience in teaching. When I am teaching I am trying to show my students how logical and useful statistical methods are. I believe in extremely organised class material, joyful presentation and a lot of hands-on activities.
      

My teaching experience includes:

Lecturing
  • Data Modelling & Computing (Mar 2015 - present, ETC1010, Undergraduate level. Department of Econometrics & Business Statistics, Monash University).
  • Biostatistics (Mar 2014 - Jun 2014, POP90013, Postgraduate level. Melbourne School of Population and Global Health, University of Melbourne).
Teaching Associate
  • Thinking and Reasoning with Data (Mar 2014 - Jun 2014, MAST90044, Graduate/Postgraduate level. Department of Mathematics and Statistics, University of Melbourne).
  • Biostatistics (Mar. 2013 - Jun. 2013, POP90013, Postgraduate level. Melbourne School of Population and Global Health, University of Melbourne).
  • Business and Economic Statistics (ETC1000, Undergraduate level. Department of Econometrics & Business Statistics, Monash University).
  • Econometrics (96586, 2004-2005, Undergraduate level. Faculty of Industrial Engineering & Management, Technion).
  • Financial Econometrics (096588, 2005-2006, Undergraduate, Postgraduate level. Faculty of Industrial Engineering & Management, Technion).
  • Microeconomics 1 (094503, 2005, Undergraduate level. Faculty of Industrial Engineering & Management, Technion).
  • Location Economics (096567, 2005, Undergraduate, Postgraduate level. Faculty of Industrial Engineering & Management, Technion).

I also deliver workshops on a variety of topics:
  • Data analysis
  • Data Management and Exploratory Data Analysis
  • What statistical techniques should you be using
  • Visual representation of the data
  • Introduction to Data Analysis and Visualisation using R
  • Statistical training for PhD students at Monash University:
    • Introduction to Statistics: Data management and exploratory data analysis 
    • Introduction to Statistics: What statistical methods should you be using? 
    • Software packages for statistics
    • Multivariate analysis
    • Statistical classification tools