This certification enables the learner to immediately engage in big data and also other analytics projects. The certification validates sensible foundation skills necessary for a knowledge Scientist.
Dell EMC Data Science Associate Certification Requirements
?To complete the requirements just for this Dell EMC Data Science Associate certification you need to:
This exam can be a qualifying exam for your Associate - Data Science (DECA- DS) track.
This Dell EMC Data Science Associate exam targets the technique of data analytics, the role in the Data Scientist, the key 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, the technology and tools that can be used for advanced analytics, operationalizing an analytics project, and knowledge visualization techniques. Successful candidates will achieve the Dell EMC Proven Professional - Data Science Associate credential.
Dell Technologies provides free practice tests to guage your understanding in preparation to the exam. Practice tests permit you to familiarize yourself with the themes and question types you will find on the proctored exam. Your results with a practice test offer one symbol of how prepared you happen to be to the proctored exam and may highlight topics which you have to study and train further. A passing score for the practice test will not guarantee a passing score around the certification exam.
Successful Career with Dell EMC DEA-7TT2 Certification:
?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, as well as the Data Scientist Role (5%)
0Define and describe the characteristics of Big Data
0Describe the organization drivers for giant Data analytics and knowledge science
0Describe the info Scientist role and related skills
?Data Analytics Lifecycle (8%)
0Describe the info analytics lifecycle purpose and sequence of phases
0Discovery - Describe specifics of this phase, including activities and associated roles
0Data preparation - Describe information on this phase, including activities and associated roles
0Model planning - Describe information this phase, including activities and associated roles
0Model building - Describe specifics of this phase, including activities and associated roles
?Initial Research into the Data (15%)
0Explain how basic R commands are used to initially explore and analyze the information
0Describe and supply examples of the main statistical measures and effective visualizations of data
0Describe the theory, process, and analysis of latest results for hypothesis testing and its particular used in evaluating one
?Advanced Analytics - Theory, Application, and Interpretation of Most current listings for Eight Methods (40%)
0Describe theory, application, and interpretation of results for the subsequent methods:
¦Naive Bayesian classifiers
¦Time Series Analysis
?Advanced Analytics for large Data - Technology and Tools (22%)
0Describe the technological challenges caused from Big Data
0Describe the nature and make use of of MapReduce and Apache Hadoop
0Describe the Hadoop ecosystem and related product use cases
0Describe in-database analytics and SQL essentials
0Describe advanced SQL methods: window functions, ordered
0aggregates, and MADlib
?Operationalizing an Analytics Project information Visualization Techniques (10%)
0Describe best practices for communicating findings and operationalizing an analytics project
0Describe tips for building project presentations for specific audiences
0Describe guidelines for planning and creating effective data visualizations
The percentages after each topic above reflects the approximate distribution from the total question set across the exam.
DEA-7TT2 Preparatory Ideas:
The Proven Professional Program periodically updates exams to think technical currency and relevance. Booking the Proven Professional website regularly to the latest information.
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