Every Data Science aspirant, at one point or another, has asked themselves one impending question. What makes a good SAS course? OR Whether I should pursue a SAS course? All those novices in the field of Data Analytics, have time and again questioned themselves as to why would they want to do a course in SAS programming?
Like any other general course, any candidate who is willing to seek more knowledge and deep understanding of the world of Data Science is willing to take a course in SAS, mainly because this software is used by the largest section of the data analytics fraternity.
While every once in a while, every data aspirant is plagued with a doubt, “what if I take help of the internet to study?” While the biggest upside of doing this is the fact that you would get unlimited access to a lot of free material and you would be at the absolute leisure, of being able to decide the pace of your course.
But the downside here is that, there is a plethora of material out there, but no indication of which is the most relevant material, that you would require in specific for your need. This is exactly where, the guidance of an expert individual and the help of relevant study material to back it up, becomes very important.
This is probably the only reason why you must pursue a course in SAS. But what does really make a good SAS course?
The first and foremost thing that matters when it comes to any course is its curriculum. It also makes for one of the most frequent complaints, which a course curriculum always tends to bend a lot more on the theoretical side. A good SAS course must include relevant content as well as a strong connection between theory and practical, real life scenarios. Any good course has to be either run or designed by experts in that very field.
So when it comes to SAS, a good course would that, which is entirely run by experts in the data science industry, with a sterling experience. As these courses are usually of very short duration, as a result of which it is imperative that these have a lot of quality material, supplemented herein.
Many SAS courses tend to just end after the theoretical part, with a little to almost no mentoring whatsoever. Many professionals who take up these courses are new to the field of data science and as a result, are not very familiar with the nuances that this field compromises of. This is where the role of mentors comes into importance.
These would be like the guiding stones for a professional. These people can prove instrumental in providing great guidance and career assistance to those candidates, who are looking to start off their career in data analytics.
While very few institutes are able to strike a balance between all of these factors, that make for a good SAS course.