Nik Nurul Syuhada Binti Mohd Ali creator author. text MY 2023 2023 monographic eng xi, 53 pages : illustrations ; 1 CD-ROM The workforce planning model is intended to provide simple and practical guidance on how to organise the workforce so that personnel and skills are matched with an organization's present and future strategic business objectives. Employers may bridge talent shortages and identify individuals who can succeed with the right professional development by using workforce planning analysis to help them build the appropriate training and employee development programmes. Therefore, it is vital to select the appropriate model as it resembles with the features of the workforce planning model. This study assesses the forecasting performance of workforce skills using the logistic regression model. The proposed logistic regression model has been applied to the data of workforce skill demand from year 2018 to 2022. This study employed data visualization for skills prediction on the most common data skills labour needed for the industry. In this study, the correlation of data science skills is presented that we believe can support the industry standardization for every coursework. Monthly income was found to have the highest score, indicating that it has the most significant impact on increasing workforce demand. specialized Nik Nurul Syuhada Binti Mohd Ali Centre for Mathematical Sciences Bachelor of Applied Science in Data Analytics with Honours -- Universiti Malaysia Pahang – 2023 Includes bibliographical references Centre for Mathematical Sciences Dissertations Universities and colleges Dissertations Final Year Project Thesis THE0010013 (Local) UMPSA 250429 20251125111036.0 eng