Jude - Maths tutor - London
1st lesson free
Jude - Maths tutor - London

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Jude

  • Rate R484
  • Response 1h
  • Students

    Number of students Jude has accompanied since joining Superprof

    3

    Number of students Jude has accompanied since joining Superprof

Jude - Maths tutor - London
  • 5 (3 reviews)

R484/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Maths
  • Statistics
  • Information Technology
  • Further Maths
  • Quantitative methods

Statistics made visual and understandable by a Data Scientist — probability, hypothesis testing, regression and mathematics for machine learning

  • Maths
  • Statistics
  • Information Technology
  • Further Maths
  • Quantitative methods

Lesson location

Recommended

Jude 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 Jude

I teach statistics to learners with different levels of mathematical confidence. Some students need help interpreting a university module, while others want the mathematical foundations required for data science or machine learning.

My strength is making abstract ideas concrete. I use diagrams, analogies, simulations and practical datasets to show what a formula is actually measuring.

I am patient and comfortable revisiting foundational topics when necessary. We build understanding gradually and connect each new concept to ideas you already understand.

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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

These lessons are for students and professionals who want to understand statistics properly rather than rely on formulae without knowing what they mean.

I explain statistical concepts using visual representations, intuitive examples and practical applications before introducing more formal notation.

Topics can include:

Descriptive statistics
Mean, median, variance and standard deviation
Probability rules
Conditional probability and Bayes' theorem
Random variables
Probability distributions
Sampling and the central limit theorem
Confidence intervals
Hypothesis testing
P-values and statistical significance
Correlation and covariance
Linear and logistic regression
Experimental design and A/B testing
Bayesian statistics
Matrix and vector foundations
Calculus used in machine learning
Statistics with Python, R or PyMC
Interpreting academic or analytical results
Lessons can be taught at an intuitive, applied or mathematically rigorous level depending on your background.

Where appropriate, we move through three stages: understanding the concept visually, working through the mathematics and applying it to data using code.

My objective is for you to understand what a method assumes, when it should be used and how its results should be interpreted.

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Rates

Rate

  • R484

Package rates

  • 5h: R2420
  • 10h: R4840

free lesson

The free first lesson with Jude allows you to get to know the tutor and discuss your needs and expectations.

  • 1h

online

  • R484/h

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