According to the 2020 Future of Jobs Report of the World Economic Forum, data analysts and scientists are listed as #1 for rising industry demand. To become a data analyst, scientist, or get any rewarding job in the data science sector, earning the best data science certifications is a smart decision.

The industry-recognized certification helps data science professionals develop essential skills without leaving their full-time jobs and market themselves as a valuable asset to potential employers. Read on to learn different types of data science certifications and how to find the best one.

What is the Difference between Data Science Courses, Certificates, and Certifications?

There are so many certificates and programs to select from within the data science field. Thus, it is important to understand the differences between a certificate, course, and certification. A course is a series of lectures or lessons on a specific subject, usually a part of a large-scale program of study.

A certification is an official document that can be received after passing a rigorous exam to demonstrate expertise in a certain data science discipline. Certifications play a pivotal role in improving credibility and job prospects. A certificate is earned after successfully completing a specific course, proving that an individual has developed certain skills or competence.

Data Science Industry Certifications

These types of certifications focus on certain data science skills and are generally created by companies developing the software being taught. For example, Microsoft is providing ‘Microsoft Certified: Azure Data Scientist Associate’ certification. Since these certifications are accredited by the company creating them, they encompass additional value and recognition.

Formal tech companies are also running programs for industry certifications in data science. For example, the Open CDS (Certified Data Scientist) certificate and the CAP (Certified Analytics Professional). These programs are developed for experienced industry experts to upgrade their resumes and seek rewarding career options.

Industry certifications in data science are usually self-paced or taught online through pre-recorded or on-demand videos. Learners need to pass the specified exam to acquire a certification. Moreover, these certifications only require an exam fee for a test and certification.

Data Science Academic Certifications

Large universities, usually offer academic certifications in data science to graduates of 4-year degree programs to broaden their post-graduation skills and resume value. Aspirants seeking a career in data science find data science academic certifications worth considering to acquire foundational knowledge and demonstrate them to a recruiter or an employer.

MIT, Harvard’s extension school, and UC Berkeley are some of the world-renowned universities offering data science certifications. Data science academic certifications have varying durations and standardization costs. For example, the Mining Massive Data Sets Certificate from Stanford University can last from 1-3 years, almost self-paced.

Data Science Certifications Online

These certification programs are designed for full-time job professionals and individuals requiring flexibility to study at their own learning pace. They provide freedom and flexibility to learn as per your convenience and schedule. Although, they are fully online, they are often accompanied by an examination process to receive accreditation.

USDSI®'s Certified Senior Data Scientist (CSDS™) is a self-paced online certification program to become a future-ready senior data scientist and improve your chances of getting paid 40% more. It is accompanied by convenient examination policies and two free assessment attempts with USDSI® (United States Data Science Institute).   

Benefits of Pursuing Data Science Certifications Online

Online certifications in the data science field continue to gain an increasing proportion of learners because they allow self-paced and visual learning. Students have the benefit of understanding complex topics through HD-quality videos and other visual forms of media, which makes learning interactive and easier.

Most importantly, learners have multiple options of certifications to choose from based on their expertise levels, pricing, industry demand, and other factors. From beginners to experienced professionals, anyone can improve their data science proficiency through online certifications. Moreover, working professionals in full-time jobs can prove their commitment to learning by pursuing an additional data science certification online.   

Find the Certification that is Apt for You.

Before choosing any certification, evaluate your goals, i.e., whether you want an entry-level data science job or become a seasoned or senior professional. Decide on your learning style, budget, time commitment, and hands-on experience first, and then start your search for the best certifications. When assessing the most suitable certifications, pay attention to the course content and the quality of the resources and support provided.

Make sure the certification covers the tools, skills, and topics that are in high demand in the job market. Review the job description, ensuring it aligns with your career objectives and is recognized in the data science industry. Also, consider the earning power and potential for career advancement.    

Conclusion

Data science certifications are the strongest pillar for supporting a career start or promotion. If you learn skills prospective employers are looking for and add them to your resume, you can improve your chances of making employers believe that you are apt for a specific job. So, start learning data science with the best certifications that are worth your time and other resources.