Adel M.

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Private tutor in Montréal, Canada

Education

Ph.D. M.Sc. B.Sc. in Mathematical Statistics At present at McGill University Major contribution Data Science, Data Mining, Data Analysis, Clustering, Classification, Time Series Forecasting, Data Modelling, Sampling, Linear Models, Quality Control, Statistical Inference, Machin Learning, Teaching Statistics.

Experience

Teaching more than 10 years Statistics Bayesian Statistics Data Science Data Mining Data Analysis Clustering Classification Time Series Forecasting Statistical Software (R, S-plus, SPSS, ITSM Minitab, Excel) EXPERTISE COVERS: Hypotheses testing, Bayesian statistics estimation and modeling, time series analysis, machine learning (data mining), computational statistics, Monte Carlo Simulation Sample courses are listed as follows Introduction to Statistics (Athabasca MATH 215) Econ 324 Statistics for Business and Economics I (Athabasca MGSC 301) Research Methods and Design II (Carleton PADM 5114) Business Statistics (Concordia COMM 215) Discover Statistics (Concordia INTE 296) Applied Statistics (Concordia MAST 333) Statistics I (Concordia SOCI 212) Statistical Methods 1 (McGill AEMA 310) Biometry (McGill BIOL 373) Applied Management Statistics (McGill CMS2 521) Applied Quantitative Methods (McGill CMSC 221) Economic Statistics (McGill ECON 227D1 / 227D2) Educational Measurements (McGill EDPE 575) Biostatistics for Health Professionals (McGill EPIB 507) Principles of Statistics 1 (McGill MATH 203) Business Statistics (McGill MGCR 271) Introductory Management Statistics (McGill MGCR 273) Introduction to Statistics for OT/PT (McGill POTH 204) Introduction to Psychological Statistics (McGill PSYC 204) Statistics in Social Research (McGill SOCI 350) Les statistiques et leurs applications (TÉLUQ STA 1001) Statistics for Business (Yorkville BUSI 1013) Probability and Statistics (Concordia ENGR 371) Applied Probability (Concordia MAST 221) Probability I (Concordia STAT 249) Probability and Statistics for Engineers (McGill ECSE 205) Probability (McGill MATH 323) Statistical Software: R SAS S-PLUS SPSS Excel Minitab Rate start at 20$

Subject Expertise

Computational Problem Solving Computer Game Design Computer Programming Computer Science Computer Skills Mathematical Foundations for Computer Science AP Statistics Biostatistics Business Statistics Statistics Statistics Graduate Level

Availability

Any day at any time

Can Meet

Up to 1 hour away for no additional charge

Hobbies

Statistical Software Construction Writing Reading Software developing Writing textbooks for introductory students

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