---
title: "do statistical analysis, machine learning in rstudio, spss and python"
url: https://zinnhub.com/zinns/do-statistical-analysis-machine-learning-in-rstudio-spss-and-python/
description: "Simple problems of Statistics, R Programming and R studio. Help with R codes. | Professional Data Analyst"
published: 2026-01-17T04:55:23+00:00
modified: 2026-06-30T22:43:28+00:00
language: en-GB
---

# do statistical analysis, machine learning in rstudio, spss and python

I turn raw data into clear, actionable insights using **R, SPSS or Python** – delivering reproducible scripts, APA-style dataframes and high-res visualisations ready for Word. Whether you’re testing hypotheses, a healthcare professional evaluating outcomes or a business leader making data-driven decisions, I tailor the analysis and guide you at every step.

With **7+ years of experience** and **300+ completed projects** in healthcare, finance and NGOs, I offer full-service support: data cleaning and assumption checks; GLMs (ANOVA, MANOVA, ANCOVA, t-tests); regression, clustering and predictive modelling; reliability and validity testing; pre/post and intervention analyses.

Not sure which method fits? I’ll propose and explain the optimal approach in plain language.

**All packages include:**

- A detailed report summarising objectives, methods and results
- Reproducible scripts with clear comments for easy adaptation
- Tidy dataframes and plots for seamless export
- Unlimited revisions until you’re satisfied
- Full confidentiality and secure handling of your data

**Ready to unlock your data’s potential? Share your goals and data, and receive a custom plan within 24 hours.**

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### This Zinn Will Include (Basic)

Simple problems of Statistics, R Programming and R studio. Help with R codes.

**Delivery:** 1 day

**Revisions:** None

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### Upgrade Options

Choose an upgrade addon to get more features:

| Feature | Basic | Boost Upgrade | Premium Upgrade |
| --- | --- | --- | --- |
| **Delivery** | 1 day | 2 days | 2 days |
| **Revisions** | None | None | None |
| Insights summary | ✗ | ✓ | ✓ |
| Visualize results | ✗ | ✓ | ✓ |