Learn the analysis, not just the buttons.
Documentation, tutorials, and methodology guides that teach you how to use Theta — and how to think about the statistics behind it.
Getting started
Upload a CSV, Excel, or TXT file, pick a workspace, and produce your first chart in under two minutes.
- Uploading and parsing data
- Column types explained
- Choosing Visualize vs Research
- Beginner vs Advanced mode
Statistics tutorials
Plain-language walkthroughs of every test in Theta's engine, with worked examples on sample data.
- Descriptive statistics
- Correlation vs causation
- Linear regression
- T-tests, ANOVA, chi-square
Research methodology
How to design an analysis you can defend — hypotheses, assumptions, sample size, and reporting.
- Framing a hypothesis
- Checking test assumptions
- Interpreting p-values honestly
- Writing up results
AI feature guides
Get more out of the AI Assistant: prompt patterns, chart generation, and how it reads your dataset.
- Prompting the assistant
- AI chart generation
- Explaining results in plain English
- Limits and sanity checks
Visualization best practices
Pick the chart that matches your question, and make it readable before you make it pretty.
- Chart type selection
- Colour palettes and accessibility
- Avoiding misleading axes
- Annotating for an audience
Dashboards & KPIs
Turn one-off charts into a live board with metrics, trends, and sparklines.
- Pinning charts
- Building KPI cards
- Layout and resizing
- Telling a story with order
Exports & reporting
Move your work out of Theta: PNG, JPG, SVG charts and PDF, CSV, TXT, JSON reports.
- Chart export formats
- Multi-page dashboard PDFs
- Report generation
- Sharing results
More resources
Video walkthroughs, downloadable practice datasets, and course-style learning paths.
- Video tutorials
- Practice datasets
- Guided learning paths
- Community examples
Learn fastest by doing
Open the workspace, load the sample dataset, and follow along with any guide above.
Open the workspace