DEML3: Data Enrichment in Data Engineering

In this course, instructor Dr. Prashanth H. Southekal explores how data enrichment is used to enhance, refine, and improve the utilization of existing data with other relevant data sets. The goal of data enrichment is to enhance the value of data and be more proactive in its utilization.

In this course, instructor Dr. Prashanth H. Southekal explores how data enrichment is used to enhance, refine, and improve the utilization of existing data with other relevant data sets. The goal of data enrichment is to enhance the value of data and be more proactive in its utilization.

Purpose

To equip participants around key concepts of data enrichment so they can learn how to enhance, refine, and improve the utilization of data with new data sets.

Outcome

  • Understand data enrichment
  • Learn data enrichment techniques:
    • Feature Engineering
    • Synthetic Data
    • SPD and TPD Integration
    • Survey Analysis
  • Discuss data acquisition and integration of enriched data

This Course Includes:

  • A 46-minute educational training video
  • A 20-question exam
  • “Check for Understanding” quizzes after each course section
  • Self-paced and on-demand e-learning
  • Unlimited course access
  • Downloadable documents/resources include:
    • Top Algorithms in Data Science
  • Course CEUs: 1.5 hours

Individual Course Price: $99
Learning Plan Price: $336
Learning Plan CEUs: 7.0 hours

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