I will do regression, anova, and hypothesis testing in r, spss, python
Professionally trained and experianced data analyst
About this Gig
Struggling to make sense of your data or your deadline?
Unanalyzed data causes stress for students, researchers, and business owners. Let me help you organize and understand your numbers.
I'm a PhD-level statistician (postdoc) with hands-on experience turning raw datasets into clear, defensible, publication-ready results. Unlike generic freelancers, I understand the theory behind every test, meaning I don't just run code, I check assumptions, interpret results correctly, and flag issues before they become a problem in your defense, submission, or business decision.
Services I offer:
- Linear & binary logistic regression modeling
- One-way & two-way ANOVA
- T-tests & non-parametric alternatives
- Hypothesis testing & p-value interpretation
- Count models (Poisson, Negative Binomial)
- Chi-square tests of independence
- PCA & Factor Analysis
- Correlation analysis
- Full write-up of results (APA-style available)
Tools I work in: R, Python, SPSS, Excel
Fields I cover:
- Academic research (thesis, dissertation, journal papers)
- Healthcare & clinical data
- Social sciences & psychology
- Business & marketing analytics
- Economics & finance
- Education research
Let's turn your data into answers you can trust.
FAQ
Is my data safe and confidential? I'm worried about sharing sensitive information.
Absolutely. Your data is used strictly for the analysis you've hired me for, and nothing else. I don't share, resell, or reuse client data in any form. If you need extra assurance, I'm happy to sign a Non-Disclosure Agreement (NDA) before we begin — just message me and I'll send one over. Your resea
I don't know which software to use — R, Python, or SPSS. Does it matter which one I pick?
Not at all — I work fluently across R, Python, SPSS, and Excel, so you don't need to know the "right" answer. If your university, workplace, or journal requires a specific tool, just let me know and I'll use it. If you're not sure, tell me your goal (thesis, publication, business report) and I'll re
My data is messy — missing values, inconsistent formatting, weird outliers. Can you still work with it?
Yes, this is extremely common, and it's part of the process. Data cleaning (handling missing values, fixing formatting, checking outliers) is included starting at the Standard package. Send me your file as-is — I'll assess it first and flag any major issues before starting the analysis, so there are
I'm not a statistics expert. Will I actually understand the results you send me?
Yes — that's a priority for me, not an afterthought. Every report includes a plain-language interpretation alongside the technical output, so you can explain your findings confidently in a defense, meeting, or publication. If anything is unclear after delivery, I'm happy to clarify it within your in
What if I need changes after you deliver, or my professor/reviewer asks for something different?
That's completely normal in research, which is why revisions are built into every package. If a reviewer or supervisor requests an additional test, different variable, or clarification, just send the feedback and I'll revise accordingly within the scope of your order. For larger additions (e.g., a n
How do I know you're qualified? What if the analysis has errors I won't catch?
I'm a PhD-level statistician (postdoc) with a strong academic and applied research background, so accuracy and correct methodology aren't optional for me — they're the standard I hold myself to. I check assumptions (normality, multicollinearity, sample size, etc.) before running any test, not after,

