Certification - a term too large to express the fields of implications and applications related to it in current dynamic business conditions. If one can understand few ago, the word “Certification” would be highly noted in many areas of business. A term that was traditionally related with doctors, engineers, and various other professionals, in the current world it has become the postage stamp for the postcard of one’s career, irrespective of the field of business one is engaged in. 

Certifications are valuable proof that a person possess competencies and skills being current and up to the industry standards. One is passing the industry's measurement of the knowledge dependent on their skill assessments test of the designation they are being certified for. 

Think of certifications as a subject test or perhaps an acknowledgment that requires an active participation in co-curricular activities. While applying for colleges one needs more than just grade-based merit. One needs a letter of recommendations, co-curricular participation, thriving essays, etc.  

Data Science Certification 

A Data Science certification is essential both personally and professionally. It is a career-long commitment that will help show-case to the individual and the organization that one is driven to be a successful data science professional. The prestigious Data Science credentials: 

Top data science certifications 

Here is a list of best data science certifications that are recognized world-wide by many organizations and they also prefer these certifications as a benchmark to scrutinize the skills in the process of hiring.  

DASCA is an industry-recognized data scientist certification body that offers certifications. These certifications gives professionals the perfect acumen and capabilities to anticipate and appreciate the needs to deploy the latest Data Science techniques, tools, and concepts to manage and also to harness Big Data across several verticals, environments, and markets.  

DASCA tests every aspirant’s ability to the world's most robust generic data science knowledge framework. The data science certification programs include a complete range of crucial fields of knowledge. Its approaches, initiatives, and programs work towards building each professional’s knowledge to address the difficult issues of Big Data stakeholders worldwide. 

Big Data professionals across 190 nations can take the DASCA certification exam. Choose these certification programs and study from the highly advanced Big Data learning platforms ever. Its certifications are related on the renowned and comprehensive Data Science Body of Knowledge (DASCA-DSBoK™) crafted around the seminal Data Science Essential Knowledge Framework (DASCA-EKF™).  

These are one of the best data science certifications that are perfect for reaching horizons of information, mainly crafted for big data engineers, big data analysts, and data scientists. The following are the certifications: 

SAS provides multiple data scientist certifications that are mainly focused on SAS products. One among them is SAS Certified Big Data Professional Using SAS 9 gives applicants details into Big Data with the help of a variety of open-source tools and SAS Data Management tools. They will be using intricate ML models to make business recommendations for deploying the models at scale with the help of a robust and flexible SAS environment. To get a SAS Certified Big Data Professional Using SAS 9 the applicant is required to pass all 5 exams that consist of short-answer, interactive questions, and a mix of multiple-choice. These are the following five exams:  

3. IBM Data Science Professional Certificate 

The IBM Data Science Professional Certificate is a nine-course credential that covers the following: 

In this program the certification takes place online through Coursera and can be completed at one’s own go, it has a great schedule and on average an applicant finishes it in three months. This data scientist certification consists of hands-on projects that will help to develop a portfolio to display the data science talents in one’s resume to potential employers. This credential is free of cost and does not expire. 

Parting notes 

Always choose data science certifications based on the career level. Focus on specific factors so that one can enrich their skills the perfect way. Certifications might look expensive but they are always worth an investment.