Best certifications for data scientist

There are several certifications that can be beneficial for data scientists, including:

Cloudera Certified Data Scientist (CCDS): This certification is offered by Cloudera and demonstrates expertise in using Cloudera’s platform to build and deploy data science models.
Amazon Web Services (AWS) Certified Machine Learning — Specialty: This certification is offered by AWS and demonstrates expertise in building and deploying machine learning models on the AWS platform.
Microsoft Certified: Azure Data Scientist Associate: This certification is offered by Microsoft and demonstrates expertise in designing and implementing data science solutions on the Azure platform.
IBM Certified Data Scientist: This certification is offered by IBM and demonstrates expertise in the use of IBM’s data science and machine learning tools and technologies.
Data Science Council of America (DASCA): This certification is offered by the Data Science Council of America, it is a vendor-neutral certification that covers the full data science lifecycle and demonstrates expertise in data science concepts and technologies.
Data Science Professional Certiﬁcate by Johns Hopkins University: This certification is offered by Coursera and covers concepts and technologies used in data science, such as statistical inference, linear regression, and machine learning.

To obtain these certifications, you will typically need to pass an exam and have the required level of experience and knowledge in the relevant technologies. Some certifications may also have prerequisites, such as other certifications or a certain number of years of experience. You can find more information on the certification providers website, such as the specific requirements, exam format, and study resources. Additionally, you should have a strong mathematical and statistical background, programming skills, and hands-on experience with data science tools and techniques.

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