Ben - Maths tutor - London
Ben - Maths tutor - London

Ben's profile, qualifications and contact details have been verified by our experts

Ben

  • Rate RM827
  • Response 1h
  • Students

    Number of students accompanied by Ben since their arrival at Superprof

    50+

    Number of students accompanied by Ben since their arrival at Superprof

Ben - Maths tutor - London
  • 5 (22 reviews)

RM827/h

Contact
  • Maths
  • Algebra
  • Statistics
  • Algorithms
  • Quantitative methods

Data scientist/statistician with maths Ph.D. (LSE) and over 15 years teaching experience in maths, statistics, machine learning, and programming.

  • Maths
  • Algebra
  • Statistics
  • Algorithms
  • Quantitative methods

Lesson location

Super tutor

Ben is one of our best Maths tutors. High-quality profile, verified qualifications, a quick response time, and great reviews from students!

About Ben

About me: - Mathematics Ph.D. from the London School of Economics. - GradStat from the Royal Statistical Society. - Have taught at Cambridge University, LSE, and King's College London (where I also did short teacher training courses). - Spent 1 year teaching maths to children in an inner city school. - Over 15 years tutoring experience (several of my students are now professors or lecturers). - Experience working as a data science/machine learning consultant in industry. I enjoy mathematics, statistics & programming, and sharing that enthusiasm with others.

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About the lesson

  • Primary
  • Secondary
  • SPM
  • +7
  • levels :

    Primary

    Secondary

    SPM

    Form 6

    STPM

    Adult education

    Bachelor

    Masters

    Diploma

    Doctorate

  • English

All languages in which the lesson is available :

English

I teach GCSE & A-level students, undergraduates and postgraduates, and offer both ongoing lessons or one-off help with projects. I have many years' experience teaching mathematics, statistics and computer programming, and applications of these subjects to fields such as economics, finance, machine learning and data science. See below for a list of areas covered. Each student is different, and I adjust my teaching method depending on their needs. After consulting with the student I will collect the relevant teaching materials (notes, exercises, past papers, etc.) and make a plan. Initial lessons will follow this plan, and after getting a feel for the strengths and weaknesses of the student the plan can be adjusted to match. I try to engage the student as much as possible by asking questions to make sure they understand, and posing problems for them to solve. I make sure that they learn the key concepts and skills which enable them to more easily master the subject material. - Probability theory - Linear algebra - Calculus - Group theory and abstract algebra - Problem solving - Statistical theory - Bayesian statistics - Gauss-Markov theory (heteroskedasticity, autocorrelation) - Linear regression - Instrumental variables & endogeneity - Moderating and mediating variables - Parametric and non-parametric statistics - Panel data modelling - Survival models - Binary choice models (logistic regression & probit models) - Time-series modelling (VAR/SVAR/VECM, ARMA, ARCH/GARCH models) - Programming with Stata, Eviews, R, SPSS, Matlab, Python, etc. - Machine learning algorithms (clustering, SVM, random forests, neural networks, etc.) - Financial mathematics - Business mathematics & statistics - Linear programming & mathematical optimisation (including AMPL programming)

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Rates

Rate

  • RM827

Pack rates

  • 5h: RM4135
  • 10h: RM8271

online

  • RM827/h

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