144 training courses, from data collection and analysis to artificial intelligence, from communication to leadership. Programs are tailored to your organization and held in person or online; you can request a quote with a single click on the course page.
Covers, through hands-on practice, importing data from different sources into the R environment, cleaning and standardising it, and documenting it with a data dictionary to make it ready for analysis…
Qualitative and Quantitative Analysis with RTeaches how to read a dataset with R through descriptive statistics, cross-tabulations and basic visualizations and turn it into findings and a brief interpretation.
Qualitative and Quantitative Analysis with RCovers testing differences between groups in R with appropriate tests, assessing effect size and translating the results into the language of decision-makers.
Qualitative and Quantitative Analysis with RTeaches how to design decision-maker-friendly charts with R and how to automate recurring reports with standard templates using RMarkdown/Quarto.
Qualitative and Quantitative Analysis with RCovers cleaning and analyzing open-ended responses and text content with R to reveal recurring themes and preliminary qualitative findings.
Teaches how to prepare survey forms that translate the research objective into measurable variables, are free of bias and have been tested through a pilot application.
The Field Research ProcessCovers planning and monitoring field operations, from defining the research population to sampling, field planning, team and route management.
The Field Research ProcessCovers conducting field data collection processes with protocols compliant with ethical principles and KVKK/GDPR requirements.
The Field Research ProcessTeaches how to verify survey data through consistency checks, back-checks and supervisor mechanisms, and how to standardize validity decisions.
The Field Research ProcessCovers standardizing survey data with code lists, a data dictionary and versioning rules and preparing it for analysis.
Introduces the corporate use cases of artificial intelligence and enables units to design their own use-case scenarios with measurable success criteria and a risk–benefit…
Multidisciplinary Artificial Intelligence TrainingAddresses the safe preparation of data for AI applications in line with quality criteria, standardization, authorized use and anonymization principles.
Multidisciplinary Artificial Intelligence TrainingTeaches how to apply theme extraction, classification and summarization to institutional texts such as petitions, complaints and call center records, with human-approved quality processes.
Multidisciplinary Artificial Intelligence TrainingAddresses the design of early warning systems that forecast demand and operational load through time series forecasting and anomaly detection, while taking the cost of false alarms into account.
Multidisciplinary Artificial Intelligence TrainingAddresses how to embed AI use in a corporate governance framework through risk management, a responsibility matrix, policy texts and specification language.
Teaches how to inventory the organization's data assets with ownership, currency and access information and to map them according to strategic priority.
Strategic Data Inventory and Dynamic Analysis with Artificial IntelligenceCovers modeling the relationships between tables, key fields and master data standards in organizational databases using ER diagrams.
Strategic Data Inventory and Dynamic Analysis with Artificial IntelligenceTeaches how to perform density and accessibility analysis at the neighborhood and street scale using geographic information system (CBS) layers, and how to read map-based scenarios.
Strategic Data Inventory and Dynamic Analysis with Artificial IntelligenceCovers combining requests and complaints received from different channels such as the call center, CİMER and field surveys, and reading them through theme, satisfaction driver and root cause…
Strategic Data Inventory and Dynamic Analysis with Artificial IntelligenceTeaches how to set up an institutional decision-support and monitoring system with a key performance indicator (KPI) dictionary, role-based dashboard architecture and automated reporting.
Write to us for a development program that brings several courses together, tailored to your institution’s needs.