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  • Dissing Hendrix posted an update 1 year, 10 months ago

    This certification enables the learner to instantly be involved in big data along with other analytics projects. The certification validates sensible foundation skills required by a knowledge Scientist.

    Dell EMC Data Science Associate Certification Requirements

    ? To complete what’s needed just for this Dell EMC Data Science Associate certification you must:

    Overview

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

    This Dell EMC Data Science Associate exam is targeted on the practice of data analytics, the part from the Data Scientist, the principle phases from the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the speculation and techniques of advanced analytics and statistical modeling, we have and tools that can be used for advanced analytics, operationalizing an analytics project, and data visualization techniques. Successful candidates will get the Dell EMC Proven Professional – Data Science Associate credential.

    Dell Technologies provides free practice tests to gauge your knowledge when preparing for the exam. Practice tests enable you to become familiar with the topics and question types you will discover about the proctored exam. Your results with a practice test offer one symbol of how prepared you happen to be for that proctored exam and may highlight topics on what you need to study and train further. A passing score on the practice test doesn’t guarantee a passing score around 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: 1 hour 30 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 characteristics of massive Data

    0 Describe the business enterprise drivers for giant Data analytics information science

    0 Describe the Data Scientist role and related skills

    ? Data Analytics Lifecycle (8%)

    0 Describe the info analytics lifecycle purpose and sequence of phases

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

    0 Data preparation – Describe specifics of this phase, including activities and associated roles

    0 Model planning – Describe information on 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 widely-used to initially explore and analyze the data

    0 Describe and provide samples of the most important statistical measures and effective visualizations of internet data

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

    ? Advanced Analytics – Theory, Application, and Interpretation of Most current listings for Eight Methods (40%)

    0 Describe theory, application, and interpretation of most current listings for the next methods:

    ¦ K-means clustering

    ¦ Association rules

    ¦ Linear regression

    ¦ Logistic Regression

    ¦ Naive Bayesian classifiers

    ¦ Decision trees

    ¦ Time Series Analysis

    ¦ Text Analytics

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

    0 Describe the technological challenges posed by Big Data

    0 Describe the character and use 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 files Visualization Techniques (10%)

    0 Describe recommendations for communicating findings and operationalizing an analytics project

    0 Describe guidelines for building project presentations for particular audiences

    0 Describe guidelines 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 think technical currency and relevance. Booking the Proven Professional website regularly for that latest information.

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