Data Cleaning Fundamentals: Preparing Data for Analytics and AI
Data Cleaning Fundamentals: Preparing Data for Analytics and AI
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 29m | 353 MB
Instructor: Susan Walsh
Learning objectives
- Explain why data quality matters and how poor data impacts reporting, decision-making, business performance and AI.
- Recognize the most common types of dirty data across sales, marketing, finance, and procurement datasets.
- Apply the COAT framework (Consistent, Organized, Accurate, Trustworthy) to assess and improve the quality of your data.
- Use Excel techniques to identify, clean, standardize, and structure messy datasets.
- Create a practical, repeatable approach to cleaning data that supports analytics, automation, and AI readiness.
Homepage
RapidGator
DDownload
NitroFlare
