Big Data Industry has been growing rapidly and so has been the role of data scientist and big data analyst in the industry. And while there has been a steady increase in the demand for a certified data scientist, it is interesting to see that recruiters are not in a hurry to fill in those vacancies. Not because there are not enough candidates, but only because the recruiters are strictly picky about which candidate to choose and which ones to reject. So how do you ensure you are not in the rejected lot?

Here’s what you can do to ensure that you are a successful hire and also get a coveted raise or promotion in your organization. There are data science course and data science certification that would help you stay ahead of your peers and competition. In case you want to go big data analytics way then also you would need certifications so that you get a smooth entry into the big data industry.

Data Science Course And Data Science Certifications

So you are planning to become a data scientist? But did you know that data scientists are not unicorns, they are not mythical individuals who with their magical powers know what to do and how to do everything that ensures success of an organization. No they are normal human beings who have studied hard, gained required skills, qualifications and then validated those skills with credentials and certifications.

So while there are numerous data science courses and data science certifications that you can choose from, there are few interesting things you should know about data science and data scientist, if you are serious about your career as data scientist.

Did you know that Data Scientist is a set of skills that defines this job title? Yes, that’s true. In fact there are four types of data scientist and they are as follows

1. Data Businessperson
2. Data Creative
3. Data Developer
4. Data Researcher

And if this was not enough there five different areas of data science expertise and those areas as follows

1. Business
2. Machine Learning/Big Data
3. Math/Operation Research
4. Programming
5. Statistics

So when you want to do a data science course, just be assured in which of the above-mentioned areas you would want to specialize in and then go for the course that would best suit your needs. Depending on the areas chosen your field of study would be different and so would be the choice of certifications.

However, getting a data science certification would be a different matter altogether, as most of the reputed institutes like Hortonworks, Coursera, DELL EMC and even DASCA wants you to have certain amount of experience before you can apply for the data science certifications. The reason is simple – Data scientist deals with loads of sensitive data and he needs to have some experience as a data analyst before he can think of jumping the gun and become a data scientist.