Does data science require certification?
A data science professional nowadays typically possesses data science certification which provides a competitive edge. Hence, yes, data science professionals will need a data science-focused certification or course whether you are a recent graduate, a working professional, or even if you have a technical background.
Which is the best data science certification?
There are numerous certifications and options from where one can acquire the most ideal data science certification. Below we discuss some of the best data certifications that professionals must prioritize acquiring if they wish to have an excelling career prospect.
Certified Analytics Professional (CAP)
The Certified Analytics Professional (CAP) is a top credential for data science professionals. It is a vendor-neutral certification that verifies your capacity to transform complex data into valuable insights and actions. A qualification that is precisely what businesses want from a data scientist. This certification validates someone who comprehends data, can draw logical conclusions, and can articulate to key stakeholders why those data points are important.
Senior Data Scientist, Data Science Council of America (DASCA) (SDS)
The Senior Data Scientist (SDS) certification program from the Data Science Council of America (DASCA) is intended for individuals with at least five years of expertise in research and analytics. Students should be familiar with databases, spreadsheets, statistical analysis, SPSS/SAS, R, and quantitative techniques, as well as the foundations of object-oriented programming and RDBMS.
Microsoft Certified: Fundamentals of Azure AI
This certification validates the professional's knowledge and skills of ML and AI ideas and their relation with Microsoft Azure services. You don't need to have a lot of expertise to pass the exam because it only covers the fundamentals. This is an excellent place to start if you're new to AI or AI on Azure and want to show potential employers your abilities and knowledge.
TensorFlow Developer Certificate
The TensorFlow Developer Certificate provides learners with skills through the creation and training of models by utilizing TensorFlow. It is a foundational level certificate ideal for beginners as well as data scientists who aim to demonstrate fundamental machine learning skills. Your knowledge of and aptitude for incorporating machine learning into a variety of tools and applications will be tested on the exam. Qualifying for this certification requires familiarity with the fundamentals of Machine learning and deep learning, image recognition algorithms, development of Machine learning models, deep neural networks, and NLP.
Open Certified Data Scientist (Open CDS)
Without any conventional training programs or tests, the Open Group Professional Accreditation Program for the Data Scientist Professional (Open CDS) is an experience-based certification. You will begin at level one as a Certified Data Scientist, advance to level two to become a Master Certified Data Scientist, and then complete level three to become a Remarkable Certified Data Scientist by passing the exam. Application for certification, filling out an application for experience, and completing a board review are the three steps necessary for certification.
Data science certification has become a vital element to making one's resume stand out and gain recognition from any of the top fortune companies. A data science certification is a validation of one's skills aligning to the market standard requirements. Hence, it is safe to say that data science certification is an essential requirement for any aspiring data science professional.
