Alan - Statistics tutor - Wivelsfield Green
Alan - Statistics tutor - Wivelsfield Green

Alan's profile and contact details have been verified by our team

Alan

  • Rate R432
  • Response 1h
Alan - Statistics tutor - Wivelsfield Green
  • 5 (4 reviews)

R432/h

Contact
  • Statistics

Work, A-Level & University Statistics Tutor – Applied & Data Analysis Help with a focus on natural sciences

  • Statistics

Lesson location

Recommended

Alan is a respected tutor in our community. He is highly recommended for his commitment and the quality of his lessons. A trusted partner on your learning journey.

About Alan

With a rich background in mathematics, computer science, and over two decades of GIS experience, I offer you a unique learning journey. Qualifications from the University of Kent at Canterbury, The Open University and the University of Aberdeen combined with my career in both Mathematics (stats) and GIS has put me in a position of a huge amount of academic and commercial experience. My career spans local and central government roles, as well as positions in both small and large corporations. Currently, I work as a GIS software and data architect for a leading UK company, thus ensuring my knowledge is cutting-edge and industry-relevant.

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About the lesson

  • Matric/GCSE
  • AS Level
  • A Level
  • +3
  • levels :

    Matric/GCSE

    AS Level

    A Level

    BTech

    Adult education

    Undergraduate

  • English

Languages in which the lesson is available :

English

My lessons focus on applied statistics, helping you understand how statistical methods are used in real-world situations such as business, economics, research, and data analysis.
The goal is not just to learn formulas, but to confidently interpret results and apply them to practical problems.
Areas covered include:
-Descriptive statistics (summarising and visualising data)
-Probability and statistical distributions
-Hypothesis testing and confidence intervals
-Bivariate analysis (correlation, simple regression, relationships between two variables)
-Multivariate analysis (multiple regression, analysing relationships across several variables)
-Data interpretation
-Statistical modelling and real-world problem solving
-Use of statistical tools such as Python, R, or Excel

Approach: Lessons are tailored to your level and goals, with a strong emphasis on step-by-step explanations, worked examples, and practical applications. I use real-world datasets where possible, so you can see how statistics is actually used beyond the classroom. 

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Rates

Rate

  • R432

Package rates

  • 5h: R389
  • 10h: R324

online

  • R432/h

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