How do I start my career in Big Data Analytics after a break?
Picture this. You’ve been in a certain sector for many years, built up work experience and a significant network there. However, after all those years, it may have stagnated, or you may feel like you need to move on to separate pastures. It happens to all of us.
If you are contemplating a switch to Data Analytics, that’s an excellent idea. It’s one of the quickest growing fields today, and it’s rife with opportunities in every aspect of the job. Especially with growing populations accessing the internet and ably connected, this is one career field with a huge – and long foreseeable future.
So say you’ve shifted out of your traditional IT job, or even a non-IT job, and are looking for a start in Data Analytics. As previously mentioned, you need not be ‘stuck’ in that career, nor is Data Analytics a closed road for you. You do not need a specific ‘experience’ in terms of academic qualifications – you can do Data Analytics as a ‘fresher’ even if you’re out of college, or even in between jobs.
We’ve previously told you why not having a maths or statistics background need not hamper your career in Data Analytics, and the same goes for someone in a long-term career. Let’s reiterate:
The basics are important
As previously mentioned, you don’t need to have a comprehensive degree, or years and years of experience in a certain academic field to be able to take up data analytics. Brushing up on your basics will be helpful in understanding them, however.
Opening up a new avenue
Especially with a field like Data Analytics, where the applications are so vast and so many, it’s a great field to pursue even if you’re already fairly long into your career. This field has a big future in terms of both practicality and application, and is very very lucrative!
So say you’ve had ten years, for example, of work experience in a specific field. You’re looking for a change. The pay has stagnated, or may be the work no longer excites you.
Data analytics is both fascinating and challenging. It will make you think critically, laterally, venture into problem solving, and work with numbers, different kinds of data, and not necessarily in traditional ‘numerical’ ways.
Say you’ve been in the finance sector – or even the business or IT sectors. This means you’ve been playing with and analysing stats or numbers for a while. Or you find them interesting. That interest then translates into picking it up into a skill.
How existing work experience will help you
If, for example, you’ve had 5-10 years of work experience, you are already aware how can you transform any organisation with analytics, and you have some additional soft skills. You are also stronger in terms of critical thinking and business thought processes, and that will certainly be a plus in terms of entering the field.
Technical knowledge of data programs may help, but those can be learned, and not knowing them when you consider venturing into the field shouldn’t discourage you from going for it!
How GradValley can help
GradValley Data Science offers programs that are specific to the skillsets and the background that you have. What data science aspirants need is motivation to pursue it as a professional educational program and apply the concepts to real world scenarios for problem solving.
The lack of a specific degree or work in a specific field shouldn’t deter you from this – and that’s where our
Associate Program in Big Data Analytics
PG Program in Big Data Analytics
can help you get a foothold into a new, quickly growing field.
