DEA-7TT2 Associate - Data Science and Big Data Analytics v2 Exam

This certification enables the learner to right away be involved in big data along with other analytics projects. The certification validates wise foundation skills required by a knowledge Scientist.
Dell EMC Data Science Associate Certification Requirements
? To complete what's needed for this Dell EMC Data Science Associate certification you have to:
This exam is really a qualifying exam to the Associate - Data Science (DECA- DS) track.

This Dell EMC Data Science Associate exam focuses on the method of data analytics, the function with the Data Scientist, the principle phases of the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the theory and techniques of advanced analytics and statistical modeling, we now have and tools which you can use for advanced analytics, operationalizing an analytics project, and data visualization techniques. Successful candidates will attain the Dell EMC Proven Professional - Data Science Associate credential.

Dell Technologies provides free practice tests to gauge knowing in preparation to the exam. Practice tests enable you to understand the individuals and question types you will find for the proctored exam. Your results over a practice test offer one symbol of how prepared you might be for your proctored exam which enable it to 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:
? 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 you will of huge Data
0 Describe the business enterprise drivers for Big Data analytics and data science
0 Describe the information 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 specifics of this phase, including activities and associated roles
0 Model planning - Describe specifics of 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 used to initially explore and analyze the info
0 Describe and still provide examples of the most important statistical measures and efficient visualizations of knowledge
0 Describe the idea, process, and analysis of latest results for hypothesis testing as well as utilization 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 caused from Big Data
0 Describe the character and rehearse 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 recommendations for building project presentations for particular audiences
0 Describe best practices for planning and creating effective data visualizations

The percentages after each topic above reflects the approximate distribution of the total question set across the exam.
DEA-7TT2 Preparatory Ideas:
The Proven Professional Program periodically updates exams to reflect technical currency and relevance. Booking the Proven Professional website regularly to the latest information.

For more info about DEA-7TT2 Associate - Data Science and Big Data Analytics v2 Exam just go to our new web portal.

Fatal Error.

Fatal Error.

An unrecoverable error has occurred and has been logged. Contact the site administrator with the following information:

Exception at time 2020-02-18T04:46:50+00:00.