The world of data science is highly dynamic, and to maintain relevance and competitiveness, one needs to update the knowledge pool regularly. Taking a data science certification course not only confirms one’s skills but also demonstrates constant striving for improvement. Similarly, the changes in the data science certifications for 2024 also reflect a different pattern, as the following certification will have value for the professionals who want to improve their careers in 2024.
Top Data Science Certifications to Elevate Your Career
Here is a list of the top certifications that give you a badge as a data scientist, help improve industry knowledge, and validate technical skills.
1. IBM Certified Data Scientist.
This certification is widely accepted as it involves contemporary data science and machine learning. The IBM Certified Data Scientist certification proves a comprehension of data science frameworks, such as the procedures of data gathering, pre-processing, discovering, and examining the data, and the capabilities to apply IBM’s sophisticated analysis tools, including IBM Watson and IBM SPSS.
The certification also confirms the modelling and deployment capabilities of a person and elaborates communication of the results and decision-making process to clients. As an IBM Certified Data Scientist, you can work as:
· Data Scientist
· Data Engineer
· Data Mining Specialist
2. Senior Data Scientist (SDS™) from DASCA
The SDS™ certification is divided into five tracks, which specify that the candidate must possess varying levels of experience. In the first track, to start earning this certification, you require a bachelor’s degree and at least five years of experience in a data science career. Others need to have a master’s degree besides other certifications; therefore, conduct individual track requirements analysis. The SDS™ is a complex concept that requires a set of competencies encompassing a vast spectrum of professional activity. The certification takes five years from the day of passing the examination.
3. Principal Data Scientist (PDS™) from DASCA
The Principal Data Scientist certification differs from the Senior Data Scientist certification as it targets data science and analytics professionals with vast experience in data analytics and intelligence.
The most successful applicants have shown their capacity to turn data and BI structures in various organizations and a record of effectively dealing with and designing BI systems for corporations. Such people are known as opinion shapers, concept developers, and technological visionaries of the data science field.
The Data Science Council of America (DASCA) offers the Principal Data Scientist certification for data science personnel who possess ten or more years of big data exposure, and it has three paths. Many aspects of data science, from basic to advanced, are tested on the exam; these include best practices for big data, business data strategies, ways of promoting cross-organizational support for data science efforts, machine learning, natural language processing, academic modelling, and many others.
4. Cloudera Data Platform Generalist Certification
Cloudera CDP Certification provides the industry standard to calibrate the experience with the Cloudera Data Platform. On each of the role-based CDP tests, the abilities to use the platform, system administration, solution designing, data analysis, and rest are evaluated. The CDP certification exams include multiple choice questions; they are immediately and securely monitored online and are taken with digital badges displaying them on any professional forum.
The CDP Generalist certification that proves the presence of platform knowledge has replaced CCA and CCP certifications. The new exam evaluates competencies in multiple environments and at different levels of roles such as administrator, developer, data analyst, data engineer, data scientist, system architect and many more.
5. The Microsoft Certified Azure Data Scientist Associate
The specificities of this certification are oriented toward the practical aspects and techniques required to work with data with the help of Azure services, including Azure Machine Learning, HDInsight, and Stream Analytics. It reveals expertise in the training and deployment of models, data analysis and visualization, and big data management on Azure.
As organizations start demanding data science professionals more and more, this certification will help people establish themselves and exhibit their skills. This also enables them to engage in demanding data projects and develop their skills to enhance their employment opportunities and gain accolades.
6. SAS Certified Advanced Analytics Professional
The SAS Certified Advanced Analytics Professional certification provides education in the areas of predictive analytics, time series modelling, machine usage, and learning optimization. To receive accreditation for this program, one must pass nine courses and three exams. Cooperation also requires at least six months of programming experience in SAS or any other computer language.
Conclusion
The field of data science certifications as of 2024 is evolving due to the new technologies that are also advancing at an equal pace and the need for qualified personnel. Therefore, the type of online data science certification that one should take depends on personal career requirements, their area of specialization, or even the requirements of the market
