The federal government’s recent decision to relax the rules regarding cannabis use is a major step forward in the effort to attract younger workers to the field of data analytics and data science. With the increasing popularity of marijuana, many millennials and Generation Zers are increasingly interested in working in the field of data analytics and data science. However, the stigma associated with cannabis use has often been a barrier to entry into the field.
The new relaxed rules around cannabis use allow for a more open-minded approach to hiring and recruitment in the field of data analytics and data science. Employers can now feel more comfortable hiring individuals who use cannabis in their personal lives, as it is no longer a barrier to employment. This will help employers tap into a larger pool of qualified and talented individuals who may have previously been overlooked due to their cannabis use.
The new relaxed rules also help to reduce the stigma around cannabis use. By allowing individuals to use cannabis without fear of discrimination, employers can create a more inclusive and diverse workplace. This is especially important in the data analytics and data science fields, as these jobs often require working with large datasets and complex algorithms. Having a diverse workforce that is open to different perspectives can only help to improve the quality of the data and the insights that are derived from it.
Overall, the federal government’s decision to relax the rules regarding cannabis use is a major step forward in the effort to attract younger workers to the field of data analytics and data science. By allowing individuals to use cannabis without fear of discrimination, employers can tap into a larger pool of qualified and talented individuals. Additionally, the relaxed rules help to reduce the stigma around cannabis use, creating a more inclusive and diverse workplace. All of these factors will help to improve the quality of the data and the insights that are derived from it, making data analytics and data science a more attractive field for younger workers.