As technology is rapidly developing and the internet is reaching even the most remote areas, there is a large volume of data being generated each second across the globe. Data analytics enables organizations to make sense of this scattered, raw data by unearthing valuable insights into various aspects, correlations, patterns and trends. This has led to soaring demand for skilled professionals with expertise in various aspects of data analytics to the tune of nearly 2 million. However, there is a huge supply shortage of skilled personnel and which, in turn, has led to a steep rise in remunerative packages for those professionals who possess skills and expertise in data analytics. This has been a major pull-factor for graduate students, freshers and experienced professionals to take up data analytics courses.

There are several courses available in data analytics and here we have put together the things to consider before taking a data analytics course.

 

What do you want to specialize in? As mentioned earlier, there are several courses out there in the field of data analytics. The first consideration before taking a data analytics course is what you want to specialize in such as business analytics, marketing analytics, financial analytics, market research, etc. This will depend on your educational and work background or the field to which you want to make your career shift. In other words, do you want to continue in your current job/ field with the new skills or do you want to switch to another job or sector itself or work as a freelancer/ consultant? The specialization you choose must be relevant in the present and must hold a future scope. So, having clarity about the choice of specialization is crucial. Closely related to this is the choice of the type of course- whether you want to study online or on-campus or take up a MOOC, etc.

 

Your skillset: The second consideration before taking a data analytics course is your current skill level and skill set. Making a careful assessment of your skill level and skill set will help you to understand where you are and what choice, of course, will best suit your needs.

 

Do you meet the prerequisites and eligibility criteria for the course? Ensure that you meet the eligibility criteria of the course and also ensure that you meet all the prerequisites. For instance, some courses may require you to know statistical or mathematical concepts or may require reading through prep material before the course begins.

 

Does the course provide hands-on-training? At the end of the course, you want to apply the technology, software and methodology learnt practically in your work. This will be possible only if the course provides hands-on training.

 

Validity of the certification: Certification at the end of the course will definitely add weight and value to your resume and accordingly improve your career and salary prospects. It is important to ensure that the validity of such certification, if the institute is authorized to provide such certification, etc.

 

Your budget and time constraints: Last but not least, it is equally important to consider your budgetary and time constraints before taking the course.

 

Once you have made the above considerations, choose a data analytics course that best suits your needs and forges ahead in your career.

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