Tuitional Certified Tutor · Statistics & Mathematics Tutor | Data Science Specialist
7+ years experience • Flexible scheduling
Rida Durrani graduated in Statistics with a CGPA of 3.97 out of 4.0 and held position-holder standing throughout her academic career, including A1 grades at secondary and higher secondary level. That record matters less to her than what it taught her: quantitative work rewards patience and clear notation rather than raw talent.
Across 7 years and more than 22,000 teaching hours she has developed a habit of starting from data a student actually cares about, then working back to the formula. Her research project on constructing and predicting a digital mental health fingerprint keeps her fluent in SPSS, STATA and R, and she carries that fluency into lessons for students heading towards university-level analysis.
| Level | Exam boards | Syllabus code |
|---|---|---|
| IGCSE | CAIE | 0580 |
| O-Level | CAIE | 4024 |
| A-Level | CAIE | 9709 |
| IB Diploma | IB | SL / HL |
| Level | Exam boards | Syllabus code |
|---|---|---|
| IGCSE | CAIE | — |
| A-Level | CAIE | 9709 |
| IB Diploma | IB | SL / HL |
| Undergraduate | — | — |
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Rida holds a Bachelor of Science in Statistics, graduating with a CGPA of 3.97 out of 4.0 as a position holder throughout her degree.
Rida starts from data a student can see and reasons towards the formula, rather than the other way round.
Real datasets and research examples build intuition before formal notation arrives.
SPSS, STATA and R are taught as working tools for practical analysis.
Structured past-paper practice is combined with analytical problem-solving strategies.
Syllabus statistics are connected to genuine research methodology and behavioural data analysis.
A patient, encouraging manner turns anxious learners into ones who volunteer answers.
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