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  • Todd Karlsson posted an update 6 months, 3 weeks ago

    This certification enables the learner to immediately participate in big data and other analytics projects. The certification validates the practical foundation skills essential to a Data Scientist.

    Dell EMC Data Science Associate Certification Requirements

    ? To complete certain requirements because of this Dell EMC Data Science Associate certification you have to:

    Overview

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

    This Dell EMC Data Science Associate exam is targeted on the technique of data analytics, the function from the Data Scientist, the primary phases with 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, we have and tools you can use for advanced analytics, operationalizing an analytics project, information visualization techniques. Successful candidates will reach the Dell EMC Proven Professional – Data Science Associate credential.

    Dell Technologies provides free practice tests to gauge knowing about it in preparation for the exam. Practice tests let you become familiar with the themes and question types you will discover for the proctored exam. Your results on the practice test offer one symbol of how prepared you’re for the proctored exam and can highlight topics on which you should study and train further. A passing score on 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: 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, along with the Data Scientist Role (5%)

    0 Define and describe the characteristics of massive Data

    0 Describe the business drivers for Big Data analytics and knowledge science

    0 Describe the info Scientist role and related skills

    ? Data Analytics Lifecycle (8%)

    0 Describe the information analytics lifecycle purpose and sequence of phases

    0 Discovery – Describe details 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 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 widely-used to initially explore and analyze your data

    0 Describe and still provide instances of the main statistical measures and efficient visualizations of knowledge

    0 Describe the speculation, process, and analysis of results for hypothesis testing and its used in evaluating one particular

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

    0 Describe theory, application, and interpretation of results for the following 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 presented by Big Data

    0 Describe the and employ 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 guidelines for communicating findings and operationalizing an analytics project

    0 Describe best practices for building project presentations for specific audiences

    0 Describe tips for planning and creating effective data visualizations

    The percentages after each topic above reflects the approximate distribution with the total question set over 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 for your latest information.

    More details about

    DEA-7TT2 see our website.