Evaluation of the trends in jobs and skill-sets using data analytics: a case study

Abstract Introduction Fast-emerging technologies are making the job market dynamic, causing desirable skills to evolve continuously. It is therefore important understand transitions in proactively identify skill sets required. Case description A novel data-driven approach developed trending jobs through a case study oil and gas industry. The proposed leverages range of data analytics tools, including Latent Semantic Indexing (LSI), Dirichlet Allocation (LDA), Factor Analysis Non-Negative Matrix Factorization (NMF), changes market. Further, our capable identifying disparities between that covered by educational system, required Discussion evaluation results show that, while most likely be replaced generally low-skilled, some high-skilled may also at risk. In addition, mismatches identified imparted education system Conclusions This presents how evolved over time, which can help decision-makers prepare workforce for highly demanding skills. Our findings line with concerns automation decreasing demand certain On other hand, we new strengthen need collaboration minds machines.