Normal view MARC view ISBD view

Future workforce demand and analysis / Nik Nurul Syuhada Binti Mohd Ali

By:

Nik Nurul Syuhada Binti Mohd Ali [author.]

Material type: Text

text

Media type:

unmediated

Carrier type:

volume

ISBN:

THE0010013 (Local)

Subject(s):

Dissertation note: Bachelor of Applied Science in Data Analytics with Honours -- Universiti Malaysia Pahang – 2023 Abstract: 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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 4 )

Holdings
Item type	Current library	Call number	Copy number	Status	Notes	Date due	Barcode
Final Year Report	UMPLIB GAMBANG	CD13587 (Browse shelf(Opens below))	1	In Transit	TIADA HARDCOPY		T000003185

Centre for Mathematical Sciences

Bachelor of Applied Science in Data Analytics with Honours -- Universiti Malaysia Pahang – 2023

Includes bibliographical references

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.