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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 as well as other analytics projects. The certification validates wise foundation skills necessary for a Data Scientist.

    Dell EMC Data Science Associate Certification Requirements

    ? To complete the requirements because of this Dell EMC Data Science Associate certification you must:

    Overview

    This exam can be a qualifying exam for the Associate – Data Science (DECA- DS) track.

    This Dell EMC Data Science Associate exam is targeted on the practice of data analytics, the part 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, we’ve got the technology and tools that can be used for advanced analytics, operationalizing an analytics project, files visualization techniques. Successful candidates will reach the Dell EMC Proven Professional – Data Science Associate credential.

    Dell Technologies provides free practice tests to guage your knowledge in planning for the exam. Practice tests permit you to familiarize yourself with the topics and question types you will discover for the proctored exam. Your results with a practice test offer one symbol of how prepared you might be for that proctored exam and will highlight topics on which you should study and train further. A passing score around 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 Big Data

    0 Describe the business drivers for large Data analytics information science

    0 Describe your data Scientist role and related skills

    ? Data Analytics Lifecycle (8%)

    0 Describe your data analytics lifecycle purpose and sequence of phases

    0 Discovery – Describe information on 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 specifics 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 the data

    0 Describe and supply samples of the most important statistical measures and efficient visualizations of information

    0 Describe the idea, process, and analysis of latest results for hypothesis testing and it is use in evaluating one

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

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

    0 Describe the technological challenges presented by Big Data

    0 Describe the character 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 best practices for communicating findings and operationalizing an analytics project

    0 Describe recommendations 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 of 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.

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