Service · Data analysis
Data analysis and statistics support for students
Most students do not need more statistics theory — they need to know which test their data justifies, how to run it, and how to write up the output without overclaiming. That is the whole of this service.
What the support covers
How we help with data analysis & statistics
Choosing the right test
Matching test to data type, design and assumptions, and knowing the non-parametric alternative when assumptions fail.
Running the analysis
Step-by-step guidance in SPSS or Excel, with data cleaning, coding and variable setup done properly first.
Reading the output
What the p-value, effect size and confidence interval actually mean for your research question.
Reporting to standard
APA-style tables and figures, and results text that states findings without inflating them.
Analyses we cover
- Descriptive statistics
- T-tests, ANOVA and non-parametric equivalents
- Correlation and regression
- Chi-square and categorical analysis
- Reliability and factor analysis
- Thematic analysis for qualitative data
Tools
- SPSS
- Excel
- Basic R and Python workflows
- NVivo-style qualitative coding
Academic levels
We work with undergraduate and Bachelor's students on assignments, coursework, reports and final-year or capstone projects, and with Master's and PhD students on research proposals, literature reviews, methodology, data analysis, theses and dissertations.
English · Arabic · French
Sessions are available in English, Arabic and French, so you can think through difficult ideas in the language you reason fastest in and still submit in the language your university requires.
Academic integrity
We coach, tutor and give feedback. Students research, build and submit their own assessed work, which keeps them inside their institution's academic integrity rules.
FAQ
Common questions
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Talk to a coach about your data analysis & statistics
Send us your course, level of study and deadline. We reply with an honest view of whether we can help and how — in English, Arabic or French.