“In our world of Big Data, businesses are relying on data scientists to glean insight from their large, ever-expanding, diverse set of data … while many people think of data science as a profession, it’s better to think of data science as a way of thinking, a way to extract insights using the scientific method.” – Bob E. Hayes (Scientist and author on CXM)
Data science holds the capacity to provide economic and social perks to several industries and businesses worldwide. Initially, data science professionals were hired by large companies, which could afford the channels and technologies that are helpful to gather and evaluate data. In today’s scenario, small and big businesses including startups rely on data science for intelligent business insights, to evaluate data, and to enhance the decision-making process.
A career in data science
Businesses these days are heavily investing in hiring data scientists to handle data and extrapolate insights from data sets to help companies solve complex problems. Globally, several individuals are choosing their career path in data science as there is a huge demand for data scientists across several industries.
If (s)he wants to become a data scientist, (s)he can prove her/his skills in this platform with the required education and by earning a certification program via several institutions
Advantages of data science certifications
Earning the right data science certification will expand an individual’s technical-know how give them better confidence and also benefit them salary-wise.
Some advantages of earning these certifications are:
Industry credibility: Certifications showcase the dedication and personal aptitude to ongoing learning.
Valuable skills: Deep learning, data analytics, and several other skills learned while earning these certifications will keep one ahead of the curve helping one become an invaluable asset in the field of data science.
Better job prospects: A Microsoft study found that over 90 percent of hiring employers look for certifications while selecting candidates, so earning data science certifications will help one to be better than others in an environment with cut-throat competition.
Higher salary: A job as a data scientist is one of the highly- paid job these days. In such a scenario, certifications prove that one has the latest skills and competencies to do the job right, thereby improving their marketability and earning potential.
Top data science certifications
Several institutions offer data science certifications such as:
IBM Data Science Professional
This is a globally recognized data science certification that has a total of 10 courses. These courses can either be taken at the same time or separately. However, to earn the IBM certification, one has to complete all the courses mentioned below:
Data science
Tools for data science
Data science methodology
Python for data science AI and development
Python Project for data science
Databases and SQL for data science with Python
Data analysis with Python
Data visualization with Python
Machine Learning with Python
Applied data science capstone
This data science certification can be earned only via Coursera, SkillUp, and Edx, with a flexible schedule. It takes an average of three months to complete, but an applicant is allowed to increase or to decrease the duration.
Senior Data Scientist (SDS™) by the Data Science Council of America (DASCA)
This certification is mainly for big data analysts and engineers with at least five years of exposure to analytics and research. By earning this credential one will have a platform-based understanding of several concepts, techniques, tools, and principles needed for designing and applying analytics frameworks, sharpening information management, and decision making. The topics covered in this certification are:
Data science applications in business
The functional framework of data science
Driving business through big data analytics
Building pan-organization support
Data science essentials for data scientists
Big data analytics essentials for data scientists
Advanced data science for data scientists
There are five eligibility tracks to register for the best data scientist certification, covering professionals from different backgrounds and requiring certain levels of work experience.
SAS Certified Data Scientist
This SDS certification is a combination of the other two data certifications offered through SAS. This program covers topics such as:
Programming skills,
Managing and improving data,
Transforming, accessing, and manipulating data
Working with popular data visualization tools.
To be qualified to earn this credential one will have to earn both the Advance Analytics Professional and Big Data Professional certifications by SAS.
In a nutshell…
The demand for professionals with data science credentials is very high. A report provided by CompTIA states that over 72 percent of employers consider data-related certifications for different job roles and are looking for people who with their knowledge, expertise, and skill sets will be valuable assets in the growth of organizations.
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