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Combining and Analyzing Complex Data
Coursera
Course
Unknown

Combining and Analyzing Complex Data

University of Maryland, College Park

Learn to use survey weights for statistics and regression parameters, data linkage techniques, and legal considerations when combining datasets.

Unknown4 weeksEnglish9,521 enrolled

About this Course

In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and more complicated quantities like model parameters for linear and logistic regressions. Software capabilities will be covered with R® receiving particular emphasis. The course will also cover the basics of record linkage and statistical matching—both of which are becoming more important as ways of combining data from different sources. Combining of datasets raises ethical issues which the course reviews. Informed consent may have to be obtained from persons to allow their data to be linked. You will learn about differences in the legal requirements in different countries

What You'll Learn

  • Use survey weights for descriptive statistics
  • Calculate linear and logistic regression parameters
  • Understand legal variations in data linkage across countries
  • Learn basics of record linkage and statistical matching

Prerequisites

  • Basic computer and internet skills helpful
  • Ability to follow instructions and complete short activities

Instructors

R

Richard Valliant, Ph.D.

Research Professor

Topics

Data Analysis
Data Science
Governance and Society
Social Sciences
Sampling (Statistics)
Statistical Analysis
Data Ethics
R Programming
STATA (Software)
Regression Analysis

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
الحوكمة والمجتمع
العلوم الاجتماعية
العينات الإحصائية
التحليل الإحصائي
أخلاقيات البيانات
برمجة R
STATA (Software)
Regression Analysis

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