Data scientists are one of the most sought-after professionals today. Data science, in fact, is continuously evolving, and opportunities are increasing as more companies move towards data-driven decision-making. This is simultaneously growing competition as well. In this scenario, taking data science certifications will give you an edge and make you stand out. On top of this, certifications are an excellent way to back up your skills and let hiring managers know the skills you have.
There are several options available for data science certifications. Based on your convenience, you can go for online or in-house certification. If you’re a recent grad or an experienced professional, you can opt for university-or industry-certified certifications. Whatever your choice, you can choose from the below options.
Top data science certifications to get going.
Applied AI with Deep Learning, IBM Watson IoT Data Science Certificate
This is a one-week course meant for professionals with experience looking to acquire advanced skills in analytics. To get started, you will need experience in coding, preferably Python, and math skills like linear algebra. The course is offered through Coursera. Once certified, this certification doesn’t expire.
Associate Certified Analytics Professional
This is an entry-level analytics course. This is meant for people who haven’t started their careers yet. Educational background in analytics or related discipline is required. Those looking to start their career in analytics are ideal takers for this.
Certified Analytics Professional (CAP)
This certification promises aspirants to help them turn complex data into analytical and actionable insights-- everything a data scientist needs to do. This is a more advanced course. Before you move on to this, you can take entry-level aCAP (Associate Certified Analytics Professional).
DASCA (Data Science Council of America)
The Data Science Council of America Offers two data scientist certifications—SDS ( Senior Data Scientist) and PDS ( Principal Data Scientist ). As you might guess, these are meant for senior professionals in the analytics domain. Both certifications require mandatory experience in big data analytics or engineering. At least six years of experience is necessary for SDS, and ten or more years of experience is needed to take PDS certification.
Dell Technologies Data Scientist Associate ( DCA-DS)
Again, this is an entry-level certification for those looking to start a career in data science or switch to data science. This exam is designed for those with a machine learning, statistics, math or analytics background. This certification is a requirement for advanced certifications offered by Dell, like Data Scientist Advanced Analytics Specialist (DCS-DS).
SAS Certified Advanced Analytics Professional
To take this certification, you will need at least six months of experience in analytics or using mathematics or statistics in a business setting. The program covers machine learning, predictive modelling, big data, pattern recognition, and other frequently used data science techniques. To pursue this course, experience with SAS or any different programming language is required. This includes nine lessons and three exams that must be cleared to earn the designation.
