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Jude
- Rate R491
- Response 24h
-
Students4
Number of students Jude has accompanied since joining Superprof
Number of students Jude has accompanied since joining Superprof

R491/h
1st lesson free
- Maths
- Statistics
- Information Technology
- Further Maths
- Quantitative methods
Statistics made visual and understandable by a Data Scientist โ 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.
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.
Recommendations
Recommendations are written by the tutor's friends, family, and acquaintances.
Jude is a brilliant tutor! Very professional and structured with a vast knowledge. Thank you very much :)
Solid course to learn the theory as well as the code. Best explains ever whenever questions related. He is knowing and very good at what he is doing here.
Jude takes his time to explain each topic and makes sure it is understood correctly before moving on, he ensures his students are fully satisfied with the lessons and has a lot of knowledge and has intricate lessons which shows his lessons are all pre planned
See more recommendations
Rates
Rate
- R491
Package rates
- 5h: R2455
- 10h: R4910
free lesson
The free first lesson with Jude allows you to get to know the tutor and discuss your needs and expectations.
- 1h
online
- R491/h
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