1st lesson free
The email address and phone number of Jude have been verified.
Jude
- Rate UGX 115,362
- Response 1h
-
Students3
Number of students Jude has accompanied since arriving at Superprof
Number of students Jude has accompanied since arriving at Superprof
UGX 115,362/hr
Contact
1st lesson free
- Maths
- Statistics
- Computing
- Quantitative methods
Statistics made visual and understandable by a Data Scientist — probability, hypothesis testing, regression and mathematics for machine learning
- Maths
- Statistics
- Computing
- Quantitative methods
Lesson location
Recommended
Jude is a respected member of our tutor community. He is highly recommended for his commitment and the quality of his lessons. An excellent choice to progress with confidence.
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
- Tertiary
- +7
levels :
Primary
Secondary
Tertiary
Adult Education
Masters
Diploma
PhD (Doctor of Philosophy)
Post-Graduate Diploma in Legal Practice
MBA
Early childhood education
- English
All 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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Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
3
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
View more recommendations
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Rates
Rate
- UGX 115,362
Pack prices
- 5h: UGX 575
- 10h: UGX 1150
free lessons
The first free lesson with Jude will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
online
- UGX 115,362/hr
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