Data Literacy

Data Literacy Program — capacity building that sticks

Intensive, hands-on, AI-first programs that turn teams into confident data users — for enterprises, partners, and governments.

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Three tracks

B2B

Upskill your teams — analytics, BI, ML fundamentals, data-driven management.

B2B2C

Co-branded programs delivered with partners and educators.

B2G

Public-sector capacity building and national data-literacy initiatives.

Programmes we have delivered

Real courses for government, research and business teams. Each one is built around the client's own data and tasks.

Completed
Customs Institute
Foundations of Artificial Intelligence in Customs Service
In recent years the Customs Institute has built a strong foundation in Data Science: its cadets have won many hackathons and competitions across the country, and we believe Link Data has contributed to this. Young specialists were taught everything from data collection to machine learning and text and image analysis.
- 4 modules
- 32 lessons
- Capstone project
Course outline
1. Data work fundamentals: statistics, Pandas, Power BI
2. Machine learning basics: classification, Random Forest, SVM
3. Text and image analysis: OCR, YOLO, convolutional networks
4. Next steps: explainable AI and ethics, MLOps, Docker and Flask, Streamlit, web and Telegram scraping
Completed
Link Data open course
Data Analysis in the Natural Sciences (with R)
Our own online course for biologists and other natural-science researchers: from a first R script to statistical tests, figures and diversity analysis. Specialists and researchers in bioinformatics, microbiology and biotechnology took an active part.
- 14 lessons × 1.5 h
- Online
- R
Course outline
1. Introduction to R and data processing
2. Using AI to write and debug code
3. Statistics: t-test, ANOVA, correlation
4. Visualisation and publication figures (Inkscape)
5. Alpha and beta diversity
Ongoing
ISLab, Social Policy Laboratory
Data Analysis and Data Science for the Social Sector
As the social sector receives growing attention, the demands on specialists are growing too. This course, set up with the support of the World Bank, aims to teach working with data and making decisions from it, with extensive use of artificial intelligence.
- 144 hours
- 8 modules
- R, Power BI, Python
Course outline
1. AI for data work
2. R for data analysis
3. Power BI dashboards
4. GIS and mapping with Python
5. Machine learning: introduction and advanced methods
6. Web scraping
7. Sentiment analysis and NLP
GSBE
Ongoing
Business Analytics and Data-Driven Decision Making (with R)
Delivered within an MBA programme in English for managers, this course helps participants build the skills to make real decisions with data. No programming background is required.
- 12 sessions × 90 min
- 18 classroom hours
- No programming required
Course outline
1. Asking the right question and measuring results
2. Finding, connecting and cleaning data
3. KPIs and charts, driver analysis
4. Working with customers and priorities, demand forecasting
5. Inventory scenario and final decision