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Econometrics Tutors in Edinburgh

Expert Econometrics tutors for A-Level, University & postgraduate levels. Time series, regression & forecasting. From £35/hour. Find your ideal UK tutor now.

Econometrics Tutors in Edinburgh
Online Econometrics Tutors in Edinburgh — Undergraduate, Master’s & PhD
Edinburgh • Econometrics Tutors

Online Econometrics Tutors in Edinburgh — Undergraduate, Master’s & PhD

Post a job on Spires, receive bids from qualified econometrics tutors, compare profiles, and book a free introduction. Support for Stata, R, Python and EViews across econometrics, statistics, and quantitative methods used at The University of Edinburgh and other local universities.

One-to-one online Bid & choose your tutor Stata • R • Python • EViews Undergraduate • Master’s • PhD

No long forms. Describe your module or project, set your budget, and tutors apply to help.

How Spires works for econometrics

Post your job

Share your module (e.g., time series, regression, panel data), software, deadlines, and budget.

Compare bids & profiles

Review tutor ratings, classes taught, and topic expertise. Shortlist and message candidates.

Book a free introduction

Meet the tutor, confirm fit and scope, then start regular online sessions in a private classroom.

Why choose Spires for econometrics in Edinburgh

  • Experts for Edinburgh syllabuses. Tutors familiar with Statistical Methods for Economics and quantitative finance modules used in Edinburgh programmes.
  • Flexible and transparent. Tutors bid for your job so you can pick the right fit for price, approach, and availability.
  • Research-grade tools. Lessons support Stata, R, Python and EViews with reproducible walkthroughs you can revisit.
  • Assessment ready. Targeted help for problem sets, projects, dissertations and exams at UG, Master’s and PhD levels.

Popular Edinburgh modules we support

Econometrics & statistics

  • ECNM08016 — Statistical Methods for Economics
  • CMSE11339 — Quantitative Research Methods in Finance

These are common requests from students on programmes at The University of Edinburgh.

Software & methods

  • Stata: do-files, panel/IV, diagnostics
  • R: tidyverse, lm/glm, forecast, ggplot
  • Python: pandas, statsmodels, scikit-learn
  • EViews for time series

Featured econometrics tutor profiles

The following summaries and thumbnails are provided by tutors. Click ‘Post job to contact’ to invite any of them.

Online Econometrics Tutor — Shubham

Online Econometrics Tutor Shubham

★ 5.0 · 5,288 classes · Best-selling author — Econometrics & Statistics (Master’s)

Specialises in econometrics and statistics; 6,500+ teaching hours.

Recent Students: 36 · Total Hours: 4,373 · Last Online: 14 Oct 2025 · All-time Students: 293 · Signed Up: 4 Apr 2018

Online Tutor — Neha

Online Tutor Neha

★ 5.0 · 13,799 classes · Indian Statistical Institute — MSc Quantitative Economics (Postgraduate)

Econometrics plus applied statistics and actuarial modules.

Recent Students: 72 · Total Hours: 11,680 · Last Online: 14 Oct 2025 · All-time Students: 712 · Signed Up: 27 Feb 2019

Online Econometrics Tutor — Gurpreet

Online Econometrics Tutor Gurpreet

★ 5.0 · 5,113 classes · M.Phil. — Applied Econometrics

Econometrics and statistics across 100+ universities, including common Edinburgh modules.

Recent Students: 31 · Total Hours: 5,367 · Last Online: 14 Oct 2025 · All-time Students: 303 · Signed Up: 1 Sep 2019

Online Economics Tutor — Abhay

Online Economics Tutor Abhay

★ 5.0 · 2,871 classes · IIT Kanpur — Economics & Finance PhD

Economics, finance, econometrics and statistics. Students from LSE, UCL, Warwick and more.

Recent Students: 17 · Total Hours: 3,509 · Last Online: 14 Oct 2025 · All-time Students: 295 · Signed Up: 13 Aug 2021

Online Econometrics Tutor — Amir

Online Econometrics Tutor Amir

624 classes · UCL MSc Machine Learning · LSE BSc Economics (First)

Econometrics, mathematics, statistics, machine learning; admissions coaching.

All-time Students: 15 · Total Hours: 699 · Last Online: 7 Oct 2025 · Signed Up: 6 Jan 2018

Online Economics Tutor — Luqman

Online Economics Tutor Luqman

★ 5.0 · 566 classes · Royal Holloway (University of London) — PhD Economics

UK-based lecturer with 10+ years’ experience; Fellow of the Higher Education Academy.

Recent Students: 28 · Total Hours: 531 · Last Online: 14 Oct 2025 · All-time Students: 91 · Signed Up: 13 Jul 2023

Online Economics Tutor — Kadir

Online Economics Tutor Kadir

★ 5.0 · 615 classes · University of Texas at Austin — PhD Economics

Time series and micro-econometrics; R, Stata.

Recent Students: 26 · Total Hours: 742 · Last Online: 14 Oct 2025 · All-time Students: 65 · Signed Up: 13 Jun 2024

Online Finance Tutor — Evangelos

Online Finance Tutor Evangelos

★ 5.0 · 138 classes · AUEB/NTUA — MSc Economics / Mathematical Modelling in Finance

Quant finance and econometrics for research projects and advanced coursework.

Recent Students: 4 · Total Hours: 198 · Last Online: 14 Oct 2025 · All-time Students: 14 · Signed Up: 27 Aug 2023

Online Economics Tutor — Matthew

Online Economics Tutor Matthew

★ 5.0 · 289 classes · University of Oxford — MPhil Economics

Applied econometrics support for assignments and dissertations.

Recent Students: 3 · Total Hours: 313 · Last Online: 13 Oct 2025 · All-time Students: 44 · Signed Up: 30 May 2022

Online Economics Tutor — Mona

Online Economics Tutor Mona

★ 5.0 · 351 classes · Brunel University London — PhD Economics & Finance

Econometrics for finance: quantitative methods, governance and international finance.

Recent Students: 21 · Total Hours: 606 · Last Online: 14 Oct 2025 · All-time Students: 32 · Signed Up: 22 Jul 2024

Online Economics Tutor — Troels

Online Economics Tutor Troels

★ 5.0 · 407 classes · University of Oxford — PPE (Master)

University econometrics, methods papers (R/Python/MATLAB) and interview prep.

Recent Students: 32 · Total Hours: 550 · Last Online: 14 Oct 2025 · All-time Students: 51 · Signed Up: 31 May 2024

Online Statistics Tutor — Enrique

Online Statistics Tutor Enrique

131 classes · London School of Economics — MSc Statistics

Regression, time series and statistical inference for economics and finance.

Recent Students: 0 · Total Hours: 139 · Last Online: 27 Feb 2025 · All-time Students: 14 · Signed Up: 12 Dec 2018

FAQs

How do I choose the right econometrics tutor?
Post your brief and compare bids. Check classes taught, ratings, software skills (Stata/R/Python/EViews) and module match (e.g., ECNM08016, CMSE11339). Shortlist, message, and book a free introduction.
Do tutors help with software and data?
Yes. Tutors routinely support do-files and scripts, model diagnostics, assumptions, forecasting, and reproducible workflows.
Can I get help at Master’s and PhD level?
Yes. Many profiles specialise in advanced courses, dissertations and empirical research across Master’s and PhD.
How quickly can I start?
Most students receive initial bids within hours. You can usually book an introduction for the same or next day.

Ready to find your Edinburgh econometrics tutor?

Share your brief, receive bids, and start with a free introduction.

Richard Evans
Richard Evans

Richard Evans is the dynamic founder of The Profs, NatWest’s Great British Young Entrepreneur of The Year and Founder of The Profs - the multi-award-winning EdTech company (Education Investor’s EdTech Company of the Year 2024, Best Tutoring Company, 2017. The Telegraphs' Innovative SME Exporter of The Year, 2018). Sensing a gap in the booming tuition market, and thousands of distressed and disenchanted university students, The Profs works with only the most distinguished educators to deliver the highest-calibre tutorials, mentoring and course creation. The Profs has now branched out into EdTech (BitPaper), Global Online Tuition (Spires) and Education Consultancy (The Profs Consultancy).Currently, Richard is focusing his efforts on 'levelling-up' the UK's admissions system: providing additional educational mentoring programmes to underprivileged students to help them secure spots at the UK's very best universities, without the need for contextual offers, or leaving these students at higher risk of drop out.