MySmartCoPilot Learn

Data and databases

Working with data: analysis in Python, statistics, spreadsheets, relational and NoSQL databases, pipelines and dashboards.

13 tracks

Data Analysis with Python (pandas, polars, DuckDB)

Planned outline: 17 modules, starting with “The data-analysis workflow and your toolkit”. Coming soon

Probability & Statistics

Planned outline: 15 modules, starting with “Statistical thinking, data and the toolkit”. Coming soon

Excel & Google Sheets

Planned outline: 16 modules, starting with “Start here: apps, cells, formats and sharing”. Coming soon

PostgreSQL in Depth

Planned outline: 14 modules, starting with “How PostgreSQL works and how to run it”. Coming soon

MySQL & MariaDB in Depth

Planned outline: 16 modules, starting with “Start here: versions, a lab server and configuration”. Coming soon

Web Scraping and Browser Automation, Responsibly

Planned outline: 10 modules, starting with “Permission first: robots.txt, terms, law and limits”. Coming soon

Data Visualization & BI

Planned outline: 12 modules, starting with “Foundations: what BI is for and how charts are built”. Coming soon

Data Engineering

Planned outline: 16 modules, starting with “Foundations: what data engineers build”. Coming soon

NoSQL Databases (Redis, MongoDB, Cassandra, DynamoDB)

Planned outline: 11 modules, starting with “Foundations: data models, partitions and consistency”. Coming soon

NumPy & SciPy for Scientific Computing

Planned outline: 17 modules, starting with “Orientation: arrays, versions and runtimes”. Coming soon

Search Engines (OpenSearch, Elasticsearch, relevance)

Planned outline: 12 modules, starting with “How search engines work”. Coming soon

Time Series Analysis & Forecasting

Planned outline: 16 modules, starting with “Foundations: time series and the forecasting task”. Coming soon

GIS & Geospatial Data (QGIS, GeoPandas, PostGIS)

Planned outline: 12 modules, starting with “Foundations: spatial questions and data models”.