Advanced Data Architecture & Handling
Build reliable, clean data foundations. Learn to tame messy real-world inputs and keep your models accurate and current.
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01
Data Wrangling
Cleaning and transforming raw, messy data into structured, usable formats — handling duplicates, inconsistencies, and missing values at scale.
Foundations -
02
Data Integrity & Validation
Setting up validation rules and error-handling systems so clean data enters your pipeline from the very first input — no surprises downstream.
Quality Control -
03
Database Connectivity
Connecting Excel to external sources — SQL databases, REST APIs, and live web data — so reports stay dynamic and refresh automatically.
Live Data