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| 2 |**Distributed systems concepts**, client–server architecture, HTTP server, REST architecture and JSON format. | Technical foundations. |
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| 3 | Data project methodology (e.g., CRISP‑DM). | Data mining methodology.|
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| 4 | RapidAPI platform introduction; testing APIs; each group selects an API to consume and generate plots. | Start of API-based project. |
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| 5 | Project support (API + data analysis). | Follow-up. |
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| 6 | Consuming Web Services, generating plots; review of NumPy, Pandas, Plotly, Seaborn etc. | Tools review.|
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| 7 | Building dashboards in Python. | Dashboard construction. |
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| 8 | Group presentations of the WebService project. | 1st project evaluation. |
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| 9 | Presentation of the **final project statement** (counting words in websites and/or social networks about a chosen theme). | Launch of final project.|
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