![]() Figure 31 A illustrates the changing demand for training by employment status, comparing the April-to-June period this year with the same period last year. This echoes earlier findings on the importance of well-being when managing in the remote and hybrid work: demand for new skills acquisition has bifurcated. In addition to skills that are directly jobs-relevant, during the COVID-19 context of 2020, data from the online learning provider Coursera has been able to identify an increasing emphasis within learner reskilling and upskilling efforts on personal development and self-management skills. Figure 29 and 30 together demonstrate that it is common for individuals moving into Data and AI to lack key data science skills-but that individuals seeking to transition into such roles will be able to work towards the right skill set through mastery of skills such as statistical programming within a recommended time frame, in this case, 76 days of learning. Figure 30 presents the typical learning curriculum of Coursera learners who are targeting a transition into Data and AI and the distance from the optimal level of mastery in the relevant job cluster, and quantifies the days of learning needed for the average worker to gain that level of mastery. Figure 29 presents the set of high-growth, emerging roles that are currently covered by the Data and AI job cluster, and the typical skills gap between source and destination professions when workers have moved into those roles over the past five years. Figures 29 and 30 demonstrate those metrics. This report reveals in further granular detail the types of insights that can guide job transitions through to appropriate reskilling and upskilling.
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