Is the EMC Data Scientist is the Field for Technically Less Endowed

There are many questions from what we get on Dell EMC certification, the most frequent once are

1. Will EMC's new data science associate certification be worth?

2.  EMC E20-065 (Advanced Analytics Specialist (EMCDS)) certificate recommended for someone without technical expertise but having a few years’ experiences as a data analyst?

If we want a one-liner, “the actual answer is there in the question itself, yes, it is for sure worthy. Now let us elaborate a bit to make you all more comfortable who are reading this article. Data science is a very new field and there is some sort of consensus building across the practitioners, as to what exactly constitutes the subject. EMCDS helps in reducing some of this confusion for an aspiring data scientist by coming up with a good course structure. EMCDS certification is one, amongst many, credible signals on your resume that you are serious about the field.

To start with, let us first understand the certificate and the skillsets it test. EMCDSA certification enables the learner to immediately participate in big data and other analytics projects. The certification validates the practical foundation skills required by a Data Scientist. Before you read further, check the EMCDSA certificate requirements.

Certification Requirements and Details:

To complete the requirements for this certification you must:

Pass the following Associate level exam i.e. E20-007 Data Science and Big Data Analytics Exam

Passing the EMC E20-007 will open the door or the candidates and make them eligible towards the Specialist level certification in the EMC Proven Professional Data Scientist (EMCDS) track including the following: EMC Data Scientist, Advanced Analytics Specialist.

The Dell EMC Advanced Analytics Specialist for Data Scientists credential is globally recognized for validating Dell EMC Advanced Analytics Specialist knowledge. With the Dell EMC Certified Specialist - Data Scientist - Advanced Analytics (EMCDS) Certification credential, you stand out in a crowd and prove that you have the Dell EMC Advanced Analytics Specialist knowledge to make a difference within your organization. The Dell EMC Advanced Analytics Specialist for Data Scientists Certification (E20-065) exam will test the candidate's knowledge on following areas.

MapReduce, with the weightage of 15%

Hadoop Ecosystem and NoSQL, with the weightage of15%

Natural Language Processing (NLP), with the weightage of 20%

Social Network Analysis (SNA), with the weightage of 23%

Data Science Theory and Methods, with the weightage of 15%

Data Visualization, with the weightage of 12%

Note:- Detailed Syllabus can be accessed at this link 

There are many study sources available starting from one offered by DellEMC to the one created and marketed by other industry experts. Let's talk about exams and the practice test which is made available to the student by www.analyticsexam.com, this is a proven methodology to check the preparation and understanding of the subject and ability to answer correctly. This type of practice tests helps him or her in evaluating selves before the certification exams. And as per my experience exam was a bit competitive. We will not discuss on the cost of the certification because it varies country. As you are now on a path to achieve EMCDS certification, you need to have focused only on syllabus topic for the same. Online training by DellEMC of more than 50 hours can give you boost on your confident but they are very costly, hence there is no need of exact experience to crack this certification.

As we already discussed, there is no particular need of the candidate to form a particular field to be a successful data scientist, however, there are certain skills which are very important characteristics.

Expertise in machine learning and statistics, with an emphasis on decision optimization

Ability to transform and manage large data sets

Proven ability to apply the skills above to real-world business problems

Programming Language knowledge, such as R, Python

Ability to evaluate model performance and tune it accordingly

If you want to be a true data scientist, as opposed to an aspiring data scientist or a data scientist in title only, we encourage you to master each of the above competencies. A data scientist is fundamentally different from a business analyst or data analyst, who often serve as product owners on data science teams, with the important role of providing subject matter expertise to the data scientists themselves.

That’s not to say business analysts, data analysts, and others can’t transition to become true data scientists, however, understand that it takes time, commitment, mentoring and applying yourself again and again to real and difficult problems. Data science is a very new field and there is some sort of consensus building across the practitioners, as to what exactly constitutes the subject. EMCDS helps in reducing some of this confusion for an aspiring data scientist by coming up with a good course structure. It does not cover some areas like algorithms and visualisations, EMCDS certification is one amongst many, credible signals on your resume that you are serious about the field.

All the best!

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