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Undergraduate STATA Tutors
3 Tutors Found
Paul
3943 Hours Taught
DBS Background Checked
Face to Face or online
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Mathematics, Physics and Data Science tutor with a Master’s in Astrophysics and a PhD in Mathematics
Dr Paul is a professional tutor with over 15 years’ experience. He has a Master’s in Astrophysics from Queen Mary University and a PhD in Mathematics from the University of New South Wales, and has 8 years’ experience in industry working at an investment bank. Dr Paul specialises in quantitative subjects, including Mathematics, Statistics, Econometrics, Physics, Data Science, and Programming, at levels ranging from A-level to PhD. He has supported students at top universities in the UK and around the world, including Oxbridge, LSE, Imperial, Harvard, Cornell, and Macquarie.
Attended institutions:
- Queen Mary, University of London (University of London)
Dan
3869 Hours Taught
DBS Background Checked
Online
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Finance, Statistics and Econometrics tutor with a Master’s in Finance from Imperial College London
Dan has been teaching for more than a decade. He has a Bachelor’s degree in Physics and a Master’s in Finance from Imperial College London and has a wide range of specialisms, including Statistics, STATA, Finance, Mathematics, and Econometrics. In addition to being an expert in his subjects, Dan helps students with applications for top UK universities, including LSE, Durham, Bristol, UCL and Warwick, with many securing places at their first choice. Thanks to his commitment to providing excellent online tutoring, Dan was awarded Online Tutor of the Year by The Profs in 2019.
Attended institutions:
- Imperial College of Science, Technology and Medicine
Chrysanthos
225 Hours Taught
DBS Background Checked
Face to Face or online
Fast Response Time
Economics PhD student with a Cambridge MPhil and Warwick MSc + BSc, and 3-years teaching experience.
Chrysanthos, a current PhD student in Economics at the University of Nottingham, holds an MPhil from the University of Cambridge and an MSc in Behavioral and Economic Science, along with a BSc, from the University of Warwick. He has been teaching undergraduate students at the economics department at the University of Nottingham for three years. Proficient in Stata and RStudio, Chrysanthos excels in imparting knowledge in microeconomics, quantitative economics, and econometric theory. Specialising in applied econometrics and statistics, Chrysanthos is well-versed in diverse methodologies, including but not limited to machine learning and Bayesian econometrics. His research focuses on welfare analysis, covering instrumental variables, time series analysis, and discrete response models.. Chrysanthos has also attended multiple Graduate Teaching Assistant (GTA) workshops by the Economics Network in the UK, which are fully aligned to the UK Professional Standards Framework.
Attended institutions:
- University of Cambridge
- University of Warwick
- University of Nottingham
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