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Data science has become the fulcrum of innovation and decision-making across industries in a digital economy, driven hugely by today's modern times. This increase in the requirement for skilled data professionals makes certification a way to validate experience and give better career prospects. Whether you are pursuing entry-level or more senior positions in the field of data science, getting the right certifications can go a long way in raising your profile and opening doors to a host of opportunities.
This program targets an audience that is professionally specialized with focused expertise in analytics and data-driven decision-making. The Institute for Operations Research and the Management Sciences is behind this offering, specifically a Certified Analytics Professional, (CAP), to attest to one's proficiency in core competence in the areas of analytics: data management, analytics methodology, and framing of business problems. It shall be relevant for those seeking to be recognized as data, business, or analytics managers.
DASCA offers different certifications at all levels: careers and domains of expertise in the field of Data Science: Senior Data Scientist, Big Data Engineer, and Principal Data Scientist. All of these are oriented to practice relevant, meaningful skills and knowledge for the industry, hence very useful to professionals as a means to demonstrate their capabilities in those specified areas of data science.
The IBM Data Science Professional Certificate is a rigorous program available on online learning platforms like Coursera. Developed in association with IBM, this course provides pedagogy in the basic tools and techniques of data science through its cloud-based platform. Participants will have several real-world projects through which learning can be applied in a rather hands-on way. This will turn out to be one of the ultra high quality courses to attain practical skills and credibility at the top in the subject.
The primary target for this certification is professionals who run data science tasks using Microsoft Azure. The credential identifies a person's expertise in executing machine learning models, data preprocessing, and solution deployment on Azure. Any person handling the Azure suite of data services would benefit if he sought recognition of his proficiency in cloud-based data science solutions.
This is how the Professional Data Engineer can design and manage data processing systems with data services on Google Cloud Platform. Topics include substantial competencies in data collection, storage, processing, and visualization. With such facts, this credential is respected when dealing with data engineering and cloud architecture roles.
SAS offers full certification to data scientists in advanced analytics, machine learning, and data visualization using SAS utilities. This means getting this certification is central to one's growth in industries where SAS software is primarily used for analytics and making data-driven decisions.
Well, the Cloudera Certified Professional: Data Scientist is a certification for skills in applying data science techniques to solve business problems using Apache Hadoop and Apache Spark. This is an industry-recognized credential that proves expertise in big data analytics, with professionals mostly dealing in large datasets and distributed computing frameworks.
AWS offers professionals the Certified Big Data – Specialty certificate for designing and implementing their services to gain insights and derive value from data at scale. It simply means collecting, storing, processing, and analyzing data with AWS. Thus, above all, big data analytics professionals, and those dealing with cloud-based data solutions must have this certification.
While this is much more of a cybersecurity certification, the Certified Information Systems Security Professional, or CISSP, is nonetheless quite useful for data scientists who deal with sensitive data and put forth principles of data security and risk management. The best practices and principles to protect the data assets from the cyber adversaries get reinstated with this type of certification.
Coursera and edX host several data scientists certifications by reputed universities and institutions. It would suffice to say that from basic to expert data science skills, these will be useful for any professional anywhere in his or her career. Indeed, many of these courses are integrated with hands-on mini-projects and multiple-choice quizzes to drive learning and practical application.
Each of these certifications brings revelations that are quite different, from enhancing technical skills to increasing marketability during job searches. Then, the right certification would depend on the goals you have set for your career, your current skill set, and demand conditions within your target industry. These certifications will equip you with the relevant skill sets and credibility to be successful in today's cutthroat job market if you want to become a data analyst, a machine learning engineer, or a big data architect.
