1^st lesson free

Jude

5 (3 reviews)

Rate $52
Response 24h
Students
Number of students Jude has accompanied since arriving at Superprof
4
Number of students Jude has accompanied since arriving at Superprof

5 (3 reviews)

$52/hr

1^st lesson free

Maths
Statistics
ICT
Further Maths
Quantitative methods

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

Maths
Statistics
ICT
Further Maths
Quantitative methods

Lesson location

- online

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

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 come from relatives, friends and acquaintances of the teacher

L

Lexie

Jude is a brilliant tutor! Very professional and structured with a vast knowledge. Thank you very much :)
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L
Lexie
Jude is a brilliant tutor! Very professional and structured with a vast knowledge. Thank you very much :)
D

Diana

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.
Read more

D
Diana
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.
M

Mona

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
Read more

M
Mona
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
View more recommendations

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Pack prices

5h: $260
10h: $520

free lessons

The first lesson with Jude will allow you to get to know each other and discuss your needs for future lessons.

online

$52/h

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

Lesson location

Recommended

About Jude

About the lesson

Recommendations

Rates

Rate

Pack prices

free lessons

online

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free lessons

online

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