Analysis Services
Data Analysis Consulting with Python
Consulting on reproducible data analysis with pandas, NumPy, SciPy and statsmodels.
Overview
We offer methodological consulting on data cleaning, transformation, statistical analysis and visualisation in Python. Analyses are built together in annotated Jupyter Notebooks, so you can understand, defend and reproduce every step.
What we do in this service
- Organising large and messy datasets with pandas
- Exploratory data analysis and outlier checks
- Hypothesis tests and regression models with SciPy and statsmodels
- Publication-quality figures with Matplotlib and Seaborn
- Annotated notebooks and a reproducible project structure
Example topics
These examples illustrate the scope of the service; every project is planned around its own research question.
What you will have at the end
Who is it for?
Frequently asked questions
Yes. The code is explained line by line; if you wish, we can work through the basics of Python and pandas together in one-to-one sessions. The goal is for you to understand and defend your analysis.
We work in Jupyter Notebook or in Google Colab, which requires no installation, together with reproducible environment information.
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