Role of data science certifications in job hunting -
Data science certifications play a very important role in the job-hunting process. A candidate who possesses a data science certification immediately signals to the employees that he has a strong interest in developing his career and has a self-driven learning nature. The data science certification will also provide a high degree of credibility to the candidate. This is paramount as there are many unscrupulous elements who try to pass themselves off as qualified and employers are very wary of them. So a data science certification gives potential employers a lot of reassurance that the candidate they are evaluating is genuine and really possesses the qualifications he claims to possess.
A data science certification also opens up the path to getting the highly paid senior data science roles in a company. A potential employer will give a lot of weight to a candidate’s certifications since they are valid proof of a candidate’s skills, knowledge, and experience. So they will consider him for senior positions in their company from the start since those require extensive knowledge of data science.
Any Data science training will never be a negative influence on a candidate’s chances of finding employment. The main gain to be had from it is the experience a candidate will gain. Employers give the most important to the practical and hands-on experience a candidate has. Any decent data science certification course will ensure that its learners create a portfolio of projects by the time they complete the course. So that requirement of the company will automatically be fulfilled by taking a data science certification course.
What are the prerequisites of data science certifications?
Most data science training courses do not have any fixed or hard-set prerequisites for the learners. However, some boot camps do require education up to a certain level and even a college degree in some cases. They also have special application processes in which the learner has to apply to enroll in a particular data science certification course. Some courses also charge some kind of fees for completing the application process. So a learner should keep all these factors in mind and be careful when browsing for data science training.
What are the different types of data science certifications?
- MOOCs -
MOOCs or massive open online courses are probably the most well-known type of data science certification courses. These courses can be taken at the learner’s own pace and can be started at any time as all the course materials such as the video lectures are available online. They don’t have any formal admission process but they do charge a fee for furnishing the learner with a certificate.
- Classroom courses -
These courses are just like courses in a school or a college. There will be a batch of students who will be taught according to a specific curriculum. They will be given assignments as homework. The problem is that if they miss a few classes they will have to catch up on their own as the classes won’t be repeated. Another problem is the risk of COVID-19 in such physical settings.
- Online courses -
These consist of videos recorded beforehand according to a curriculum that is designed beforehand. They are usually delivered on a Learning Management System (LMS) and can be accessed at any time from any location. But it is difficult to clear one’s doubts immediately in online classes.
What are the benefits of a data science certification?
- 1 on 1 mentorship -
In most PGP in data science courses, the instructors teach the students in batches with a certain number of learners in them but they also provide 24/7 support through video, call, email, and chat. In this way, learners can benefit from one on one mentorship and get their doubts cleared and queries resolved.
- Lots of hands-on experience is available through project-based learning methodologies -
These data science certification courses typically have a lot of capstone projects both in the middle of the course as well as in the end. These provide hands-on practical experience to the learners while helping them build a portfolio of projects at the same time.
- The course curriculum makes the learners ready for the real world -
The course curriculum of such data science certification courses usually include all the latest trends and developments in the field of data science. So they equip the learners to work in data science positions in companies out in the real world.