UNIVERSITY TUTORING

Statistics & Econometrics Tutoring

Courses, exams, certifications and quantitative skills

Individual support in statistics, econometrics, time series and quantitative software, from university study to professional learning.

LEARNING AREAS

Quantitative learning areas

Support is organised around what needs to be learned and understood, rather than around delivery of a research or consulting project.

Statistics & Probability

Probability, estimation, confidence intervals, hypothesis testing, statistical inference and applied interpretation.

Econometrics

Regression, estimation, inference, specification, diagnostics and interpretation of empirical models.

Time Series & Forecasting

Dynamic models, stationarity, autoregressive processes, forecasting, diagnostics and predictive evaluation.

University Courses & Exam Preparation

Course-specific work on theory, exercises, past exams, problem-solving strategies and preparation under time constraints.

Professional Certifications & Continuing Learning

Preparation or refresher work for quantitative professional training, certifications and continuing education requiring statistics, econometrics or data analysis.

Statistical Software & Quantitative Computing

R, Python and other quantitative software when implementation, simulation or interpretation of output is part of the learning objective.

HOW SUPPORT WORKS

Simple, case-by-case tutoring arrangements

Send the course, topic and timing. I review the request and, where appropriate, availability, format and fee are agreed before support is confirmed.

1. Enquiry

Describe the course, topic or exam, together with the objective and timing.

2. Review

I assess whether I can provide suitable support and what material is needed.

3. Agreement & Support

Availability, format and fee are agreed before any support is arranged.

LEVELS & TOOLS

Support adapted to course level and analytical tools

Undergraduate

Foundations of Statistics, Probability, Econometrics and quantitative methods.

MSc & Advanced Courses

Advanced statistical and econometric methods, Time Series, empirical modelling and interpretation.

Working Languages

English · Italian · Spanish