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Data Cleaning Fundamentals Preparing Data for Analytics and AI
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Data Cleaning Fundamentals Preparing Data for Analytics and AI, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Released 8/2026
With Susan Walsh
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 43m | Size: 350.5 MB
Learn how to recognize, clean, and structure messy data using practical Excel techniques and the COAT framework to improve reporting, decision-making, and AI readiness.
Course details
Poor data quietly undermines reporting, decision-making, and business performance, and its impact becomes even more critical as organizations invest in analytics and AI. In this course, you'll learn why data quality matters, how to recognize the most common types of dirty data across sales, marketing, finance, and procurement, and what to do about it. You'll be introduced to the COAT framework (Consistent, Organized, Accurate, Trustworthy) and shown how to apply it to assess and improve the data you rely on every day. Through practical Excel techniques, you'll learn how to identify, clean, standardize, and structure messy datasets so they become usable and reliable. By the end, you'll be able to build a simple, repeatable approach to data cleaning that supports better reporting, stronger decisions, and AI-ready data.
Skills covered
Data Preparation, Data Cleaning, Data Analysis, Artificial Intelligence (AI), AI for Data Analysis
Homepage
https://www.linkedin.com/learning/data-cleaning-fundamentals-preparing-data-for-analytics-and-ai
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