The title must have already shed some light on the problem to which we have undertaken to find a solution; it is better that we jump straight into it. Lack of employability is a group words we come across quite often these days. It is utterly disheartening for a young graduate to read that 90% of the graduates are in fact not employable in the corporate workforce – you can almost hear the dreams breaking. But things should not necessarily be like this. Change is possible and desirable for the sake both of the potential employee and of course the employer. The problem pervades all fields of work; however we will focus on data analytics.

The problem with the University curriculum 

Murray De Villiers, a seminal figure in data science education, opines that there is a gap between what is taught in a university run data science or analytics course and what is demanded of a data analytics professional. They are taught to deal with data using open source tools in academic milieu and with small data sets. When they are dropped into the corporate scenario where the data sets are huge and the tool of preference is something like SAS, they fall out of place. 

This poses a threat to the company that has high stakes as well as to the employee who is losing both reliability and self-confidence. 

  The amount and nature of data 

Once taken out of the academic framework and introduced to a high stake scenario the candidates are already at a loss. What makes things worse is the sheer magnitude and flux of data. Variety, velocity and volume work in tandem to push the poor soul off balance and out of the scene.  

Students trained with open source tools, spreadsheets and limited data find themselves in literally an ocean. 

This predicament can be avoided 

There are establishments that can help candidates out by providing them with the lacking knowledge. There are SAS training institutes that can prepare you for the time when the fight gets real. A renewed sense of responsibility is earned with the highly valued certification.  

• Your credibility is greatly boosted. 

• Your chances of landing a great job are boosted.

It is always advisable that you learn to use and recognize the limitations of R or Python, but SAS is something that has always set the bars.