Our KODAQS Academy Individual Training Program aims at researchers looking to advance their expertise in data science quality without committing to a structured in-person program: researchers at all career levels, including doctoral candidates and early-career postdocs, statistical institutions employees, and non-academic researchers in the field of social sciences.
Fully online self-paced training with courses consisting of clearly defined learning paths and extensive didactical materials (e.g. videos, slides, literature, scripts, code, etc).
This format allows learners to acquire data quality-oriented use of data expertise in a self-directed and flexible manner.
The program follows an open learning training approach (no certification is awarded to participants).
Please note that enrolling in the KODAQS Academy Individual Training Program does not grant access to the networking events from the KODAQS Data Quality Academy Certificate Program
Curriculum
Building upon the structure and contents of the KODAQS Data Quality Academy Certificate Program, the Individual Training Program only considers the asynchronous resources and online modules.
The individual training program is structured under one introductory module, four teaching modules containing 9 courses, and 46 thematic sessions comprised of Learning Units.
A complete description of the curriculum is linked here à Curriculum Individual Training Program.
The KODAQS consultants team provides regular orientation and general guidance to participants concerning the structure and operation of the program platform.
Registration & Key Dates
Call for registration Opens: May 15, 2025.
Training Platform Access Begins: June 01, 2025.
Rolling Applications: Apply anytime, with platform access granted weekly
Learning platform of the programme is available indefinitely.
Application Requirements
Basic knowledge of statistics and data analysis.
Familiarity with survey methodology.
Experience with statistical software such as R, Python, or Stata.
