Data Science Fundamentals, Part 1: Data Collection & Modeling
Completed by Alexandra Ndirango
September 17, 2025
9 hours (approximately)
Alexandra Ndirango's account is verified. Coursera certifies their successful completion of Data Science Fundamentals, Part 1: Data Collection & Modeling
What you will learn
Master the ETL (Extract, Transform, Load) process for seamless data acquisition and integration.
Acquire practical skills in sourcing data from APIs, web scraping, and managing data lineage.
Parse and transform diverse data formats (XML, JSON) for structured analysis.
Build and apply data models using object-oriented programming to streamline data workflows.
Skills you will gain
- Category: Extensible Languages and XML
- Category: Object Oriented Programming (OOP)
- Category: Systems Integration
- Category: JSON
- Category: Data Pipelines
- Category: Extensible Markup Language (XML)
- Category: Data Import/Export
- Category: Application Programming Interface (API)
- Category: Data Integration
- Category: Web Scraping
- Category: Relational Databases
- Category: Data Collection
