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The Total Data Quality Framework
Coursera
Course
Unknown

The Total Data Quality Framework

University of Michigan

This course introduces the Total Data Quality (TDQ) framework, its key dimensions, and addresses potential threats to data quality in various contexts.

Unknown4 weeksEnglish

About this Course

By the end of this first course in the Total Data Quality specialization, learners will be able to: 1. Identify the essential differences between designed and gathered data and summarize the key dimensions of the Total Data Quality (TDQ) Framework; 2. Define the three measurement dimensions of the Total Data Quality framework, and describe potential threats to data quality along each of these dimensions for both gathered and designed data; 3. Define the three representation dimensions of the

What You'll Learn

  • Identify essential differences between designed and gathered data
  • Summarize key dimensions of the Total Data Quality Framework
  • Describe the role of data analysis in data quality
  • Define the three measurement dimensions of data quality

Instructors

B

Brady T. West

Institute for Social Research

J

James Wagner

Survey Research Center

J

Jinseok Kim

Survey Research Center

T

Trent D Buskirk

Institute for Social Research

Topics

Data Management
Data Preprocessing
Data Analysis
Threat Detection
Data Validation
Sampling (Statistics)
Data Access
Data Quality
Data Collection

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

إدارة البيانات
المعالجة المسبقة للبيانات
تحليل البيانات
الكشف عن التهديدات
التحقق من البيانات
العينات الإحصائية
الوصول إلى البيانات
جودة البيانات
Data Collection

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