How to choose the best analytics training programme for yourself?

The pandemic has certainly arrived with severe threats to the global economy. The semi-skilled and unskilled labourers are facing the onslaught of recession already. A lot of skilled labourers are also in the firing line. Job security becomes a myth in times like these, regular salaries a dream. But in the midst of all of this, there is a 16% increment in the demand for data analytics skills and a 12% increment in the demand for cloud computing skills.

This does not come as a surprise because, as the World Economic Forum has reported, the pandemic fall out has driven rapid digitization in a number of different sectors. Take the ed-tech industry for instance, millions of students who would, under different circumstances, have joined an offline course, are opting for online training. The digital marketplace is a fierce battle ground where advanced analytics is the most trusted weapon for companies to target and convert potential customers. Hence, it is a good idea to take the opportunity and become a part of probably one of the few industries that are making lemonade with the lemons that life has thrown at the world.

The choice has just become harder

While it is easily understandable why you should undergo analytics training, finding the right course has become more difficult than it used to be thanks to the surge in the number of courses being offered. Your way of choosing the right programme too has to evolve.

Know the market

You do not want to spend money on acquiring a skill which does not have an immediate relevance. Look up data related tags on different job portals to narrow down your choices based on the number of vacancies for each one. Then again if you see a lot of vacancies in the field of machine learning, you cannot just make a leap and enrol for a machine learning course. I mean, technically you can but you should not.

Know yourself

Your choice of course should be consistent with your level of expertise. If you are knowledgeable in computer science and statistics you can opt for a data science course. But if you come from a different background with less computational and statistical experience, you should start from the basics. It is very important not to overshoot yourself lest you gather certificates yet stay unemployable.

The curriculum

Some institutes provide you with personalized counselling where they assess your skills, sometimes with the help of algorithms, to suggest the best curriculum for you. But if you are on your own, look for a balanced curriculum that is industry relevant and has scopes for both theoretical and practical learning.

The faculty

This is where you must take the help of groups and forums where you can find information about the members of the faculty. If you are paying a good amount of money for a course you would want one-one interactions where the instructor will matter a lot.

Keep these things in mind and do not lose this window of opportunity when almost all institutes are offering discounts on course fees.

Saajan Sharma likes to read and write actively on upcoming HR trends and how HR is reshaping the business landscape. He likes to help businesses stay informed and up to date with established and emerging technologies like Payroll Software, SAP, etc.