Data Scientist

As we all know the time is of DATA, there is no doubt in the mind when I say the boom in the data industry has driven and taken the demand for data science, data Analyst and Data engineers to the next level, across all industry verticals. There are job openings for data scientists, data engineers, and data analysts. And there seems to be a lot of confusion and lot many different opinions among people regarding the roles and skillsets driving this field. Here we will mostly discuss two major job titles, Data Scientist and Data Analyst.

Let us Understand the Main Difference Between Data Scientist and Data Analyst

I know many of you may not convince with this but yes, there are no defined skill-sets that can distinguish between the role of a ‘Data Scientist’ and ‘Data Analyst’. This is mainly because most of the companies have their own definition and role descriptions. In fact, different companies have different definitions for both these roles, and there is a lot of grey area in between the two job titles. Broadly analyzing, a Data Scientist is a professional who combines data handling and data visualization with sound business understanding to make smart business decisions.

Dell EMC, a part of Dell Technologies, enables organizations to modernize, automate and transform their data center using industry-leading converged infrastructure, servers, storage and data protection technologies. This provides a trusted foundation for businesses to transform IT, through the creation of a hybrid cloud, and transform their business through the creation of cloud-native applications and big data solutions. Dell EMC services customers across 180 countries – including 98 percent of the Fortune 500 – with the industry's most comprehensive and innovative portfolio from edge to core to cloud.

As we all know that data scientist career is one of the hottest jobs in IT. What’s more, it’s the best job you can get, according to data from Glassdoor.

Generally, Data science is important to nearly every company. Recruiters are searching for skilled people. But the skills will vary across businesses and industries. Moreover, certifications are a great way to gain an edge. As they allow you to hone niche skills that are hard to find in your desired industry. Besides, it’s also a way to back up your skills. So recruiters and hiring managers know what they’re getting if they hire you.

Professional certifications in data science field serve as the ideal way to bridge the gap between academia and industry practices and knowledge. The certificates also provide tangible, third-party proof of your skills and allow you to position yourself right where you need to be for the next big job opportunity or promotion in the current job. As already agreed that the data science certificates are the real gap filler, this stands true for you irrespective of you being a fresh graduate or an experienced job seeker. Also, there is not a good time or bad time to get yourself certified in the field of data analytics.

The Benefits of getting yourself Certified are many, we can list some of them as below,