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Advanced data analysis, statistics and modelling in R or Python

$70
1
Delivery in
2 days
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What you get with this Offer

I provide professional data analysis, statistical modelling, and clear reporting using R and Python. I help businesses, researchers, and consultants turn raw data into reliable insights they can confidently use for decisions, reporting, or research.

My service covers the full analytics workflow from cleaning messy datasets to advanced modelling, forecasting, and visualization. I focus on accuracy, transparency, and clear interpretation of results.

Basic: Small Data Analysis
Ideal for small datasets and quick insights. Includes data cleaning, descriptive statistics, basic charts, and a short written summary.

Standard: Full Data Analysis & Modelling
Suitable for business or research use. Includes full data preparation, statistical analysis (regression or time-series), visualisations, and a structured summary or report.

Premium: Advanced / Research-Grade Analysis
Designed for complex or publication-level work. Includes advanced statistical or predictive modelling, forecasting or time-series analysis, subgroup analysis, publication-ready charts, and a full report with reproducible workflow.

Please message me before ordering so I can confirm scope, feasibility, and timelines.

Get more with Offer Add-ons

  • I can standard Package as described above

    Additional 1 working day

    +$67
  • I can premium Package as described above

    Additional 2 working days

    +$269

What the Freelancer needs to start the work

Buyers are advised to share the following details:

1. Please upload your dataset(s) in CSV, Excel, or provide a Google Sheets link. If you have multiple files, upload all of them together.

2. Briefly describe the problem you want to solve or the question you want answered (e.g. hypothesis testing, modelling relationships, prediction, research analysis).

3. Type of analysis required - Descriptive / exploratory analysis or Statistical testing (t-test, ANOVA, chi-square, etc.) or Regression or statistical modelling or Time-series or longitudinal analysis

4. Preferred tool I should use: R or Python

5. Expected deliverables: Cleaned dataset, Plots & visualisations, Summary report (Word / PDF),
Reproducible R / Python notebook or everything