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Natasha
- Rate R1202
- Response 1h
R1202/h
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- Maths
- Algebra
- Statistics
- Algorithms
- Quantitative methods
Masters in Mathematical statistics and over 15 years of experience in teaching various branches of maths and statistics.
- Maths
- Algebra
- Statistics
- Algorithms
- Quantitative methods
Lesson location
About Natasha
Masters in Mathematical statistics and have been helping students in the same field.
I help students in understanding basics well, strive through the difficult concepts and score well in exams.
- Over 15 years tutoring experience (several of my students are now professors or lecturers).
- Experience working as a corporate banker in industry.
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About the lesson
- Primary
- Secondary
- Matric/GCSE
- +9
levels :
Primary
Secondary
Matric/GCSE
AS Level
A Level
BTech
Adult education
Undergraduate
Masters
Diploma
Doctorate
MBA
- English
Languages in which the lesson is available :
English
I teach undergraduates and postgraduates, and offer both ongoing lessons or one-off help with projects.
I have 15+ years of experience teaching mathematics, statistics 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
-advance calculus - 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
- 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
- Financial mathematics
- Business mathematics & statistics
- Linear programming & mathematical optimisation
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Rates
Rate
- R1202
Package rates
- 5h: R6010
- 10h: R12020
online
- R1202/h
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