Course Overview

The procedures for weighting sample surveys, including how to account for nonresponse and calibrate using data from outside the survey, will be covered in this course.

Adjustments employing estimated response propensities, poststratification, raking, and general regression estimates are a few of the methods covered.

We'll talk about some other methods for appending values to absent elements. The capabilities of various statistical software tools, such as R®, Stata®, and SAS®, will be covered for both weighting and imputation.

What you'll learn

• Data Collection
• Cluster Sampling
• R Programming
• Missing Data

Requirements

• Basics of data handling.
• A computer device with a working internet connection.
• The course time is three weeks or 17 hours.
• Flexible work schedule.

AccessTo Career Resources with the Dealing with Missing Data Certification Course

Enroll Free

Enhanced Employability:

An outstanding Dealing with Missing Data Certification that increases your chances of landing the best jobs.

Competitive Advantage:

An opportunity to stand out among others and make a stronger impression on potential employers.

Skill Validation:

A strong validation of your data handling competence verifies your ability to successfully deal with data tasks.

Networking Opportunities:

This Dealing with Missing Data Certification program provides ample networking opportunities for participants. Learners can connect with peers and industry professionals through interactive sessions, group discussions, and collaborative exercises.