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Mr Will Ong

 Melbourne

Melbourne tutor in Calculus, Computing, Economics, Engineering, Finance, Maths, Psychology, Statistics, Actuarial studies, actuary, Quantitive Methods, Business Stat, Econometrics, Mathematics in Macroeconomics, Biostatistics, Statistics for Psychology and Social Sciences, Regression, GLM, Time Series, GARCH, ARIMA, ARDL, Hypothesis Testing, Confidence Intervals, MANOVA, ANCOVA, ANOVA, t tests, Parametric Tests, Non-parametric Tests, Markov Chains, Survival Analysis, Hazard Ratios, Odds Ratios, Factor Analysis, Cl

(1 student review)

I specialise in assistance with assignments and data analysis for theses and reports, specialising in R, SPSS, SAS, Stata, Eviews, Minitab, Excel, MATLAB, Mathematica. I also offer tuition, specialising in advanced statistics, financial mathematics, econometrics, actuarial studies, and preparation for the quantitative section of the GRE and GMAT (attaining a perfect score myself). In addition to tutoring, I am also able to offer assistance with:

* assistance with assignments and projects (usually within 24 hours, express service also available) * data analysis for reports or dissertations (e.g. regression, hypothesis testing, R, SPSS, SAS, Stata, Eviews, Minitab, Excel, MATLAB, Mathematica), * proofreading of reports/theses of a mathematical/statistical nature * solutions to past exam papers

Please don't hesitate to contact me - most queries will receive a reply immediately (within 5 minutes) and all queries will receive a response within 12 hours.

Contact

Experience

* 2007 - 2009: Lecturer and Tutor in Mathematics and Statistics, University of Western
Australia
* 2010 - 2011: Tutor in Mathematics and Statistics, Australian National University
* 2012: Tutor in Mathematics and Statistics, University of Sydney
Worked closely with lecturers to present lectures, conduct weekly tutorial classes
and grade assignments/exams.

Qualifications

2006 - 2009: Bachelor of Science/Bachelor of Computer Science, University of
Western Australia (top graduating student)
Majors: Statistics, Applied Mathematics, Pure Mathematics,
Computation, Systems

2010 - 2011: Master of Mathematical Sciences, Australian National University (top
graduating student). Specialisation: Statistics and Number Theory

2013 - 2015: PhD in Applied Mathematics and Statistics, University of Cambridge
(fully funded through a Cambridge Trust Scholarship)

Rates

This depends on the type of service required - please contact for an instant quote for
analysing your data or solutions to questions etc. Rates for basic high school
mathematics begin at $50 per hour. Online tuition also available.

Gender

Male

Registered

Joined Tutor Finder on 19-Oct-2015 (updated profile on 05-Dec-2018)
Tutoring Location
  • Tutor's Place in Melbourne
  • Home Visits within 10 kms
  • Online and Phone Help
  • Private & Group Tuition
Tutor in Melbourne

Maths

Calculus (Secondary, Tertiary)
Maths (Secondary, Tertiary)
Statistics (Secondary, Tertiary)

Technology

Computing (Secondary, Tertiary)
Engineering (Secondary, Tertiary)

Business

Economics (Secondary, Tertiary)
Finance (Secondary, Tertiary)

Social Science

Psychology (Tertiary)

Other Subjects

Actuarial studies, actuary, Quantitive Methods, Business Stat, Econometrics, Mathematics in Macroeconomics, Biostatistics, Statistics for Psychology and Social Sciences, Regression, GLM, Time Series, GARCH, ARIMA, ARDL, Hypothesis Testing, Confidence Intervals, MANOVA, ANCOVA, ANOVA, t tests, Parametric Tests, Non-parametric Tests, Markov Chains, Survival Analysis, Hazard Ratios, Odds Ratios, Factor Analysis, Cluster Analysis, Clustering, Classification, Discriminant Analysis, Meta-analysis, Experimental Design, Data Mining, Machine Learning, R, S-plus, SPSS, Stata, SAS, Eviews, Minitab, Excel, Prism, Bayesian Inference, Monte Carlo Simulation, Winbugs, Openbugs, Financial Math, Business Math, Math for Economics, Optimisation, Portfolio Theory, Game Theory, Stochastic Processes, Stochastic Calculus, Options Pricing, Derivative Pricing, Black Scholes Formula, Volatility Modeling, GMAT, GRE, A-level, O-level, Engineering Math, Numerical Methods, C, C++, Java, MATLAB, Mathematica, Maple, Discrete Math, Math for Computer Science, Galois Theory, Real and Complex Analysis, Number Theory, Graph Theory, Combinatorics, Linear Algebra, Algebra, Pre-Calculus, Calculus, Multivariate Calculus, Partial and Ordinary Differential Equations, Geometry, Trigonometry, Instrumental Variables IV, Two-Stage Least Squares 2SLS, Error Correction Models, ARCH, Generalised Least Squares GLS, General Linear Model GLM, Vector Autoregressive Models VAR, Panel Data, Cross-sectional data, Maximum Likelihood, Generalised Method of Moments GMM, Importance Sampling, Monte Carlo Markov Chain MCMC, Fixed and random effects, Hausman test, Endogeneity, Logit, Probit, Logistics regression, Probit regression, dummy variables, Structural Equation Modelling, Multilevel models, inference, Principle component analysis PCA, Poisson regression, Binomial regression, Negative Binomial regression, Quartile regression, Sharpe ratio, Ordinary Least Squares OLS, Wald tests, LM tests, LR tests, Likelihood ratio, Captial Asset Pricing Model CAPM, convex optimisation, limited dependent variable models, bootstrapping, finance, economics, Difference in difference DiD estimators, Gretl, Revman, Cochrane review, Predictive Analytics, Hedonic analysis, ArcGIS, J curve graphs, ROC curves, log-linear models, stattools, @risk, simul8, microeconomics, macroeconomics, latex, tex, BEAMnrc, Purchasing power parity, PPP, mean reverting, Augmented Dickey Fuller ADF tests, Engle Granger Johansen cointegration tests, NVIVO, confirmatory factor analysis CFA, exploratory factor analysis EFA, joint point regression, Joinpoint Trend Analysis Software, Public Health, Epidemiology, sampling, stratification, stratified random sample, Actuarial studies, sensitivity and specificity, Positive Predicted Value PPV, Negative Predicted Value NPV, PLS path modelling, conjoint analysis, quasi-experimental studies, RevMan, Gravity model, PPP, PFI, difference and system gmm, level equations, hadoop, Kruskal-Wallis test, Friedman test, multivariate multiple regression, machine learning, LINGO, DEAP Data Envelopment Analysis, personnel economics, WarpPLS, Weka, Nonlinear structural equation modelling, MPlus, Regression Algorithms, Ridge Regression, Least Absolute Shrinkage and Selection Operator LASSO, Conditional Decision Trees, Bayesian Algorithms Naive Bayes Gaussian Naive Bayes Multinomial Naive, Bayesian Network BN, Clustering Algorithms k-Means k-Medians, Expectation Maximisation EM, Deep Learning Algorithms, Dimensionality Reduction Algorithms, Principal Component Regression PCR, Partial Least Squares Regression PLSR, Bootstrapped Aggregation, Evolutionary algorithms, Computer Vision CV, Natural Language Processing NLP, Reinforcement Learning, Graphical Models, Simultaneous Equation Modelling SEM

"Simply amazing!!!! I cannot recommend him enough!!!!! Will helped me with data analysis for my assignment. In the end I got 99/100 and the highest ever mark!! He also offers constant email support and literally replies to emails within minutes."

Alvin    
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