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  • Todd Karlsson posted an update 2 months, 1 week ago

    This certification enables the learner to instantly participate in big data as well as other analytics projects. The certification validates sensible foundation skills essential to a knowledge Scientist.

    Dell EMC Data Science Associate Certification Requirements

    ? To complete the needs just for this Dell EMC Data Science Associate certification you should:

    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 method of data analytics, the role with the Data Scientist, the main phases in the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the speculation 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 get the Dell EMC Proven Professional – Data Science Associate credential.

    Dell Technologies provides free practice tests to gauge knowing about it in planning to the exam. Practice tests allow you to familiarize yourself with the themes and question types you can find around the proctored exam. Your results with a practice test offer one indication of how prepared you happen to be for the proctored exam and may highlight topics on what you should study and train further. A passing score for the practice test won’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 also the Data Scientist Role (5%)

    0 Define and describe the characteristics of massive Data

    0 Describe the organization drivers for giant Data analytics and data science

    0 Describe the Data Scientist role and related skills

    ? Data Analytics Lifecycle (8%)

    0 Describe your data analytics lifecycle purpose and sequence of phases

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

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

    ? Initial Analysis of the Data (15%)

    0 Explain how basic R commands are utilized to initially explore and analyze the data

    0 Describe and offer examples of the key statistical measures and efficient visualizations of data

    0 Describe the speculation, process, and analysis of results for hypothesis testing and its particular use in evaluating a single

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

    0 Describe theory, application, and interpretation of latest results 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 giant Data – Technology and Tools (22%)

    0 Describe the technological challenges resulting from Big Data

    0 Describe the nature and make use of 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 knowledge Visualization Techniques (10%)

    0 Describe tips for communicating findings and operationalizing an analytics project

    0 Describe best practices for building project presentations for specific audiences

    0 Describe guidelines for planning and creating effective data visualizations

    The percentages after each topic above reflects the approximate distribution with the total question set across the exam.

    DEA-7TT2 Preparatory Ideas:

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

    The Proven Professional Program periodically updates exams to mirror technical currency and relevance. Please check the Proven Professional website regularly for the latest information.

    For more information about Dell EMC Data Science Associate Certification please visit web portal:

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