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CDSP(Associate):Certified Data Science Professional - Associate
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Overview of CDSP(Associate)
Your role as a data scientist must aim to introduce companies with enhanced strategies of doing business by leveraging the power and limitless opportunities big data offers. The “CDSP(Associate) Certified Data Science Professional - Assosicate” certification upskills you to advance and successfully transition from data analytics to data science career. There is a huge skills gap in the field of data science, and talented, knowledgeable data scientists will get countless opportunities, but not every data scientist can fit the roles that require a high level of expertise, reflected with passion to immerse in this science of big data. The course curriculum takes candidates deep into the topics of machine learning, model interpretation, machine learning optimization and compute optimization. Get certified and accelerate your success into leading the big data league.
Who Is This Cert Suitable For?
This certification exam is suitable for incumbents who possess a strong background in data science with a firm understanding of methodologies and their application in relevant disciplines. Having worked as a data analyst for a couple years makes you a suitable candidate to attempt the certification exam, because the topics this exam will test you require pre-established conceptual and practical expertise in some areas of big data, while a deep understanding of other areas. If you have worked as a data analyst, have built an understanding of data analysis and data science challenges and also hold a track record of using various data analysis methodologies to one or more companies’ advantage, this certification will further magnify your aptitude and acumen with in-depth data science learning and exposure to technologically updated big data theories and practices.
Pre-requisites for the Cert Exam
If you aim to start preparing for this ultimate Data Science certification, you must come with a solid base of managing databases and spreadsheets. You must be knowledgeable with predictive analysis techniques and instruments while also possess evident exposure around analytical platforms, including SPSS and SAS. You should also have some experience with basic R programming, other quantitative methods, object-oriented programming and RDBMS fundamentals. A data science professional who is friendly with operating on widely used Big Data programming and analytics platforms, would be able to grasp the complicated and technical knowledge delivered while preparing for the certification exam.