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  • Dissing Hendrix posted an update 4 months, 1 week ago

    This certification enables the learner to right away engage in big data along with other analytics projects. The certification validates sensible foundation skills required by a Data Scientist.

    Dell EMC Data Science Associate Certification Requirements

    ? To complete certain requirements with this Dell EMC Data Science Associate certification you need to:

    Overview

    This exam is a qualifying exam for your Associate – Data Science (DECA- DS) track.

    This Dell EMC Data Science Associate exam is targeted on the technique of data analytics, the role in the Data Scientist, the principle phases in the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the thought and methods of advanced analytics and statistical modeling, the technology and tools you can use for advanced analytics, operationalizing an analytics project, files visualization techniques. Successful candidates will achieve the Dell EMC Proven Professional – Data Science Associate credential.

    Dell Technologies provides free practice tests to evaluate your knowledge when preparing for your exam. Practice tests permit you to familiarize yourself with the themes and question types you will find around the proctored exam. Your results on a practice test offer one indication of how prepared you are to the proctored exam which enable it to highlight topics on which you’ll want to study and train further. A passing score about the practice test does not guarantee a passing score about the certification exam.

    Successful Career with Dell EMC DEA-7TT2 Certification:

    ? https://dell-emc-exam-guide.blogspot.com/2019/07/successful-career-with-dell-emc-dea.html

    ? DEA-7TT2 Exam Duration: 90 Minutes

    ? DEA-7TT2 Exam Questions: 60

    ? DEA-7TT2 Exam Passing Score: 60

    Dell EMC Data Science Associate Exam Topics

    ? Big Data, Analytics, and the Data Scientist Role (5%)

    0 Define and describe the functions of huge Data

    0 Describe the business enterprise drivers for Big Data analytics files science

    0 Describe the info Scientist role and related skills

    ? Data Analytics Lifecycle (8%)

    0 Describe the info analytics lifecycle purpose and sequence of phases

    0 Discovery – Describe details of this phase, including activities and associated roles

    0 Data preparation – Describe information on this phase, including activities and associated roles

    0 Model planning – Describe information this phase, including activities and associated roles

    0 Model building – Describe specifics of this phase, including activities and associated roles

    ? Initial Research into the Data (15%)

    0 Explain how basic R commands are employed to initially explore and analyze the information

    0 Describe and still provide instances of the most important statistical measures and efficient visualizations of data

    0 Describe the speculation, process, and analysis of recent results for hypothesis testing and it is use within evaluating one particular

    ? Advanced Analytics – Theory, Application, and Interpretation of Recent results for Eight Methods (40%)

    0 Describe theory, application, and interpretation of results for these methods:

    ¦ K-means clustering

    ¦ Association rules

    ¦ Linear regression

    ¦ Logistic Regression

    ¦ Naive Bayesian classifiers

    ¦ Decision trees

    ¦ Time Series Analysis

    ¦ Text Analytics

    ? Advanced Analytics for Big Data – Technology and Tools (22%)

    0 Describe the technological challenges resulting from Big Data

    0 Describe the character and rehearse of MapReduce and Apache Hadoop

    0 Describe the Hadoop ecosystem and related product use cases

    0 Describe in-database analytics and SQL essentials

    0 Describe advanced SQL methods: window functions, ordered

    0 aggregates, and MADlib

    ? Operationalizing an Analytics Project and Data Visualization Techniques (10%)

    0 Describe recommendations for communicating findings and operationalizing an analytics project

    0 Describe recommendations for building project presentations for specific audiences

    0 Describe recommendations for planning and creating effective data visualizations

    The percentages after each topic above reflects the approximate distribution from the total question set through the exam.

    DEA-7TT2 Preparatory Ideas:

    ? https://dea-7tt2-success-guide.tumblr.com/

    The Proven Professional Program periodically updates exams to reflect technical currency and relevance. Booking the Proven Professional website regularly to the latest information.

    To read more about
    Dell EMC Data Science Associate Certification visit this useful web portal.