Practical Data Analytics

Uncategorized
Wishlist Share

About Course

Practical GenAI in Data Analytics is the self-paced Skills4X twin of Digisoul’s AI4X programme. Working entirely on your own data, you build a production-grade Analytics AI Operating System component by component — Auto-EDA and data-quality scoring, text-to-SQL, cohort and A/B analysis, forecasting and anomaly detection, bilingual (EN/AR) retrieval, and audience-tuned narratives. Every lesson ends in something you can run on Monday.

Course Content

AI-Augmented Analyst Foundations
Stand up your analyst co-pilot and a read-only data layer, then profile any dataset with Auto-EDA and a data-quality scorecard.

Query & Analytical Layer
Query in plain language with text-to-SQL, then run EDA, statistics, and cohort plus A/B analysis with rigor.

Presentation & Forward-Looking Layer
Build a conversational analytics layer and a forecasting plus anomaly-detection engine leaders can act on.

Unstructured Data & Narrative
Add bilingual RAG over documents and an audience-tuned narrative generator that turns analysis into action.

Capstone · Analytics AI Operating System
Build and defend a production-grade Analytics AI Operating System on your own data, component by component.

Student Ratings & Reviews

No Review Yet
No Review Yet