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Extracting Value from Dark Data: ULEADD
Coursera
Course
Unknown

Extracting Value from Dark Data: ULEADD

Arizona State University

Provides practical knowledge of the ULEADD method for extracting value from hidden data using a structured discovery framework.

Unknown4 weeksArabic, German, English, French

About this Course

This course will provide you with working knowledge on the ULEADD approach to extracting value from data. ULEADD - an acronym for Understand, Learn, Evaluate, Assess, Define, Design - is a framework for discovery that provides a structure to identify and extract value from data that is typically hidden from sight. Though this course focuses on using ULEADD with dark data, you will likely find that this approach is helpful in many project and data scenarios

What You'll Learn

  • Understand the ULEADD approach for extracting data value
  • Explain the stages of ULEADD in analytical processes
  • Evaluate and extract value from hidden data
  • Apply the framework to various practical scenarios

Prerequisites

  • No deep prior technical experience required
  • Basic computer and internet skills
  • Ability to read course instructions in English and complete practice activities

Instructors

C

Curtis Thompson

Topics

Data Analysis
Data Science
Data Management
Information Technology
Data-Driven Decision-Making
Needs Assessment
Requirements Analysis
Exploratory Data Analysis
Unstructured Data
Gap Analysis

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علم البيانات
إدارة البيانات
تكنولوجيا المعلومات
اتخاذ القرارات المبنية على البيانات
تقييم الاحتياجات
تحليل المتطلبات
التحليل الاستكشافي للبيانات
Unstructured Data
Gap Analysis

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