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CDSP : Certified Data Science Professional
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Overview of CDSP
If you are a coveted data scientist with proven excellence in his work and aim to further advance into the league of big data, preparing for and passing this certification exam will help you fit into bigger data science and data architect roles. The “CDSP: Certified Data Science Professional” certification upskills you to another level of success in your already established data science career. Your success as a data scientist highly depends upon the freshness and applicability of your data science skills. We have carefully crafted the exam course curriculum for experienced data scientists to specialize in the most celebrated sub-fields of data science. The topics included to prepare for this certification include machine learning specialties and deep learning specialties. Getting certified will get you the professional acumen and specialized capability to apply machine learning and deep learning for highest degree of impact.
Who Is This Cert Suitable For?
To apply for this certification exam, candidates must have worked as a data scientist leading data science strategies and roadmap for a couple of years. Not just that, it would require sound understanding of machine learning and deep learning, since preparing for this will take you through expert level concepts in the mentioned subjects. Possessing a strong background in applied data science with a firm understanding of methodologies and their application in relevant disciplines makes you eligible to specialize in the pivotal sub-fields of data science, that are machine learning and deep learning. Become the change agent by unlocking your potential in one of the most celebrated fields, big data.
Pre-requisites for the Cert Exam
You should possess at least two years of proven working experience as a data scientist to be able to apply for this certification exam. With the experience, you should be well versed with databases and spreadsheets, utilizing them to the businesses’ advantage. Knowledge and some experience in working with R programming will help you pick up pace with preparing for the exam. You must also be knowledgeable with predictive analysis techniques and instruments. It is ideal to the extent of necessary for a candidate to have a firm grip of analytics platforms like SPSS/SAS. Big Data programming and analytics platforms is also one of the requirements for taking the cert. Since the exam preparation covers specialized learning about advance data science subjects, other quantitative methods, object-oriented programming and RDBMS fundamentals would be a great support to learning and understanding the curriculum.