Nowadays, doing a data science certification course is a very common practice. But does getting certified mean getting a job? In reality, this is not so easy. Aspirants are struggling to land their first data science job for a long time. Read this article to know why (3 key provocations)? And what are their prerequisite solutions?
Provocation 1: Plenty of
Interview calls but no offer letter
Almost all the Data Science Courses in
Bangalore now
advertise for a job assistance programme on their certification course. So getting
an ample amount of interview calls is not a matter of surprise. But, cracking
the interview depends on your efficiency.
● Lack of strength in your project
portfolio
● Lack of programming proficiency
from the perspective of statistical concept application
● Ineffective domain knowledge
To win over these challenges, you need to consider the following precautions.
● Ensure that you have done the creditable real-time industrial project and documented it properly on
online platforms like Linkedin or GitHub. Also, make sure that your project
benefits are in-lined with your domain expectations. For example, being from
the pharmaceutical industry, doing a project on Uber analytics does not hold
any significance during a job interview.
● In the case of codding efficacy,
your entry-level designation does not demand hard-core programming knowledge.
Rather, what it demands is the creditable application of your basic programming
knowledge on making effective ML models and
algorithms. So
practice more on this aspect.
● Ensure that you apply to the right job position that equally gives credit to your newly earned data science knowledge and previously earned practical domain-based knowledge.
Provocation 2: Getting
offer letter but with degradation of designation/salary package
At this point, I am not talking about the fresh graduates.
Rather my focus is on the aspirants seeking for career transition.
Unfortunately, after completing your data science certification, companies
offer your job but sometimes with lower designation and sometimes with a lower salary
package. The key reasons for such ill-incidents may be as follows.
● You are not targeting the right
job role.
● Your certification learning module
was not effective according to your domain knowledge or working experience.
● Your project is not all a creditable one.
To win over this challenge, the best option is
● Do extensive research on your
targeted job role and the skills you currently hold to ensure that you can meet
recruiters' expectations.
● Choosing a course randomly is the
biggest mistake most of the aspirants make. Not all the courses are suitable
for all. As domain knowledge holds a crucial position in the data science
domain, choose such a course that makes you a competent data science candidate
in your domain.
● Ensure that your project is perfectly
showcased so that the talent acquisition team gets convinced enough about your
ability to help their company grow.
Provocation3: Feeling low
about job sustainability
Even after grabbing your first
data science position, if you remain doubtful about your job sustainability,
then it might be possible that
● You
have started finding a gap in your learning while doing practical things.
● You
lack soft skills like communication, critical thinking, and time management.
● Either
you are low in conceptual knowledge or ineffective in tool handling.
To win over such situations, you need to take part in competitions like the Kaggle competition, do some soft skill up-gradation courses, and discuss with your organisational domain experts and seniors. Just don't give up without trying to evaluate the problem.
The above solutions will help you
fight back with your career transition challenges, but the best way is to take
precautionary measures by choosing the right course at the initial stage. Then,
you can join Learn bay Data science certification courses,
where you will be trained against all the aspects associated with the above
challenges. Finally, with a comprehensive data science course syllabus and
expert job assistance, you will become job market competent in the real means.