Ruben Singh - Databases tutor - Sheffield
Ruben Singh - Databases tutor - Sheffield

The profile of Ruben Singh and their contact details have been verified by our experts

Ruben Singh

  • Rate 303 GHS
  • Response 1h
Ruben Singh - Databases tutor - Sheffield

303 GHS/hr

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  • Databases
  • MySQL
  • Data Analysis
  • Oracle

Data Analyst and Tutor with a Distinction in MSc Data Science and a strong foundation in data engineering, analytics, and machine learning. Proficient in Python, PySpark, R, SQL, and Power BI.

  • Databases
  • MySQL
  • Data Analysis
  • Oracle

Lesson location

About Ruben Singh

Hi, I’m Ruben—a data analyst and tutor with an MSc in Data Science (Distinction) from the University of Sheffield. I’ve designed full teaching materials (lesson plans, labs, assessments, datasets, and marking rubrics) and delivered both theory classes and hands‑on coding labs to cohorts of 35+ learners. I also build end‑to‑end analytics dashboards (Power BI/Tableau) and data pipelines

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About the lesson

  • Primary school
  • Junior high school
  • SHS 1
  • +15
  • levels :

    Primary school

    Junior high school

    SHS 1

    SHS 2

    SHS 3

    BTS

    Adult Education

    Facultate (Licență)

    Master's degree

    Higher national diploma

    Doctor of philosophy

    MBA

    Pre school

    Beginner

    Intermediate

    Advanced

    Professionel

    Child

  • English

All languages in which the lesson is available :

English

Lesson Structure (Examples) 1) Python for Data – Starter (90 mins) Setup: Python + notebooks (Anaconda/Colab) Data types, lists/dicts, loops, functions Mini‑project: load a CSV, clean columns, basic stats Homework: a short data cleaning task + solution key 2) SQL Fundamentals (60–90 mins) ER diagrams, tables, PK/FK SELECT, WHERE, ORDER BY, LIMIT Joins cheatsheet; hands‑on with sample DB Mini‑project: create a query pack (joins + aggregations) 3) Power BI Dashboards (90 mins) Import, model, relationships Measures vs. columns, DAX essentials Build a 1‑page KPI dashboard and publish 4) Machine Learning Intro (90 mins) Problem framing, train/test split, metrics Pipeline: preprocessing → model → evaluation Hands‑on: classification with scikit‑learn Every lesson ends with a checklist, notes, and next‑steps.

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Rates

Rate

  • 303 GHS

Pack prices

  • 5h: 1515 GHS
  • 10h: 3030 GHS

online

  • GHS303/h

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