CDSP (Associate) - Certified Data Science Professional (Associate)

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Course Features

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Duration

5 days

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

Course Description

This certification is for you if you are looking to transform the entire business landscape and increase revenue, customer acceptance, and loyalty.

Overview of CDSP - Associate

Data scientists are responsible for introducing companies to new ways of doing business through the use of big data. The aEURoeCertified data Science Professional: AssociateaEUR certification will allow you to move from data analytics to data science. The field of data science has a large skills gap. While talented and knowledgeable data scientists will have many opportunities, not all data scientists can fill the positions that require high levels of expertise. This is why it is important to be passionate about the science of big data. Course curriculum covers topics such as machine learning, model interpretation and machine learning optimization. You can get certified to accelerate your progress into the top of the big data league.

Course Overview

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Virtual Labs

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Having worked as a data analyst for a couple years makes you a suitable candidate to attempt the certification exam

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

Target Students

If you have worked as a data analyst, have built an understanding of data analysis and data science challenges

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

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