Our Services
We help people and organizations understand their data and turn it into decisions. On this page you will find an overview of the services we offer — from analytical projects for companies and support for science & research to education in data analysis, programming, and statistics.
Business & Organisations
We help companies and organisations turn scattered data into practical insight, clear outputs, and repeatable processes that support real decisions.
- One-time analyses to answer specific business questions
- Automation of regular reports and data workflows
- Dashboards for management and teams
- Evaluation of interventions, pilots, or campaigns
Students
We help students with the parts of a thesis or project that tend to feel the most overwhelming — methodology, data, analysis, and interpretation. You remain the author; we act as an extra guide.
- Consultations on research design and methodology
- Help with surveys, experiments, or data collection
- Guidance with analysis in SPSS, R, Python, SQL, or Excel
- Clear explanation of results for your defense
Science & Academia
For research and academic teams, we focus on clean analysis, reproducible workflows, and transparent outputs that can be reused in future projects.
- Study design, e.g. sample size considerations
- Data cleaning, structuring, and documentation
- Statistical analyses for papers, grants, and research projects
- Publication-ready tables, figures, and outputs
Every project is different — we'd be happy to hear about yours.
Courses & training
You can find all topics we offer courses in here. Let us show you what horizons we can open for you. These are fully prepared course paths with clear modules and outcomes. If you have a specific goal, we can also tailor a custom course to your needs.
This SQL training is modular — you can follow the full path or pick only the modules you need. If you work with a specific database or use case, we can tailor the examples and exercises.
Absolute beginner SQL
Learn how relational databases work and how to safely query data using SQL — even if you’ve never written a query before.
- Understand tables, columns, and basic relationships
- Write simple, safe SELECT queries with filters
SELECT statements & filtering
Learn to pull exactly the rows and columns you need and make your queries clear and predictable.
- Write SELECT queries with WHERE, ORDER BY, and LIMIT
- Use basic functions to shape and clean outputs
Joins & aggregations
Combine tables and produce real analytical results: counts, sums, group metrics, and business-ready summaries.
- Join tables (INNER/LEFT) to build multi-table datasets
- Aggregate with GROUP BY and filter with HAVING
Maintenance & performance basics
Learn why queries get slow and how to improve them using practical performance intuition and safe habits.
- Understand indexes and when they actually help
- Read execution plans at a basic, practical level
Advanced querying
Write scalable, readable SQL for complex analysis and reporting — without turning queries into spaghetti.
- Use CTEs and subqueries to structure complex logic
- Apply window functions for ranking and time-based analysis
Database administration
Get a clear overview of how databases are managed in practice so you can work safely in real team environments.
- Work with schemas, roles, and permissions responsibly
- Understand backups, restores, and best-practice workflows
This Python training is built as a practical analytics path — from basics to automation and clean code. If you have a specific workflow in mind (reports, dashboards, DB pipelines), we can tailor the course to it.
Python foundations for analysts
Start from zero and learn the Python building blocks you’ll use every day in data work.
- Write clean scripts with variables, conditions, loops, and functions
- Work with files and common data formats without pain
Data handling with pandas
Learn the exact operations you need to clean, reshape, join, and validate tabular data.
- Join tables, group data, pivot/melt, and handle missing values
- Build reliable cleaning steps you can reuse
SQL + databases in Python
Connect to databases, run safe queries, and move data between SQL and pandas smoothly.
- Create reusable database connections and parameterized queries
- Extract → validate → export workflows for real projects
Visualization for analysts
Make plots that look professional and communicate insight clearly.
- The chart patterns you need in practice (and common mistakes)
- Formatting, annotation, and clean exporting
Statistics in Python
Build statistical intuition and learn the tests analysts actually use.
- Confidence intervals, hypothesis tests, and practical interpretation
- How to avoid common statistical traps in real datasets
Automation & reporting pipelines
Turn notebooks into repeatable scripts and generate outputs that stakeholders can use.
- Write reusable functions and simple pipeline structure
- Export reports (Excel/PDF/HTML) and schedule runs
OOP for analysts & clean code
Learn object-oriented thinking where it actually helps: reusable connectors, loaders, and tools.
- Build simple classes for DB connections and repeatable workflows
- Project structure, type hints, and testing basics
Capstone: end-to-end analytics project
Combine everything: extract data, analyze, visualize, and ship a polished report.
- Design an end-to-end workflow with validation and clean outputs
- Refactor and present your work like a real deliverable