IETI Transactions on Data Analysis and Forecasting (iTDAF) is a peer-reviewed open access journal that aims to publish manuscripts in all aspects of data analysis and forecasting. Research must be of high quality and context that would interest worldwide readership. This journal aims to contribute to theory and practice and bridge the gap between the academic ivory tower and the real world, making data analysis and forecasting useful for the future. The iTDAF covers all types of data analysis and forecasting, including but not limited to the following topics: big data, business, deep learning, machine learning, neural network, social sciences, sustainability, and time series; that are applied in different areas such as health, finance, economics, business, sustainability, climate change, environment, engineering and technology, management, tourism.