Certificates that can be taken for Data Analytics are SAS Programmer Professional Certificate, IBM Data Science Professional Certificate, Professional Machine Learning Engineer BETA, etc.
1, SAS programmer professional certificate.
The full name of SAS is data analysis system. Often times, data scientists feel like they don't understand a lot of data details well enough when doing machine learning, and that's when it's time to learn SAS, which refines your understanding of data conclusions. Learning to use SAS technology, you can use Q-Q plots, histograms and residual plots, etc., to perform normal distribution tests, as well as analysis of variance (ANOVA) and multivariate analysis of variance (ANOVA) and so on.
2. IBM Professional Certificate in Data Science.
This certificate from IBM, which will be offered at the end of the series, can speed yourself from a complete data science beginner to a professional online data scientist.The IBM Data Science Professional Certificate can be learned on both Coursera and edX. Regardless of the platform, you must complete a course covering all the core knowledge of data science to receive a certificate and IBM badge upon completion.
3, Professional Machine Learning Engineer BETA.
This certificate is issued by Google, and it is also currently suitable for machine learning engineers, the most difficult challenge (in other words, the most gold) of a certificate. Since knowledge of deployment and engineering is required for data scientists who specialize in models, getting this certificate is a side argument for having enough expertise in this area.