E20-065 Advanced Analytics Specialist Exam for Data Scientis

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In this course, you will get 2 Practice Exams with 60+ Unique Questions from Dell EMC E20-065 – Advanced Analytics Specialist Exam for Data Scientists covering all the topics for the Dell EMC E20-065 Exam. Updated to latest questions on June 2022. What do you get in this course?2 Mock Tests with 60+ Unique and Latest Questions with explanation for each question. In-depth and exhaustive explanation for every question Reliable exam reports to evaluate strengths and weaknesses Questions are frequently reviewed and updated frequently. Practice tests are created by Subject Matter Experts and the questions always stay current with the actual exam.100% verified answers and explanations to each question.****************************************************************************************************The Dell EMC Data Scientist Associate (EMCDSA) is a foundational certification that exposes to the basics of big data and data analytics. Topics for this certification include an introduction to data analytics, characteristics of big data, and the role of data scientists. It also included a variety of big data theories and techniques, including linear regression, time-series analysis, and decision trees. The Dell EMC Advanced Analytics Specialist for Data Scientists Certification (E20-065) exam will test the candidate’s knowledge on following areas: Dell EMC E20-065 Exam Summary: Exam Name: Dell EMC Advanced Analytics Specialist for Data Scientists Exam Code:  E20-065Exam Duration: 90 minutes Exam Questions: 60 Questions Passing Score: 63Dell EMC E20-065 Exam Topics: Map Reduce (15%)- Map Reduce framework and its implementation in Hadoop- Hadoop Distributed File System (HDFS)- Yet Another Resource Negotiator (YARN)Hadoop Ecosystem and No SQL (15%)- Pig- Hive- No SQL- HBase- Spark Natural Language Processing (NLP) (20%)- NLP and the four main categories of ambiguity- Text Preprocessing- Language Modeling Social Network Analysis (SNA) (23%)- SNA and Graph Theory- Communities- Network Problems and SNA Tools Data Science Theory and Methods (15%)- Simulation- Random Forests- Multinomial Logistic Regression and Maximum Entropy Data Visualization (12%)- Perception and Visualization- Visualization of Multivariate Data What are some of the data scientist job roles?Core data scientists, researchers, and big data specialists are the top job titles in the data science field. Benefits of Dell EMC Advanced Analytics Specialist Certification: Data exploration and data discovery to identify and quantify the characteristic of the data. This is an interactive method to determine which variables and metrics to test in the interactive analytic model development process. Data enrichment is the method of creating new higher-order variables that enhance the content and context of the raw data given the problem being addressed. Data enrichment methods cover log transformations, RFM (recency, frequency, monetary) calculations, indices, share, attributions, and scores. Data visualization uses tools and methods to identify patterns, trends, outliers, and correlations that might be helpful in the analytic modeling process; to identify variables and metrics that might be better predictors of business and operational performance. Feature engineering, the process of creating new input features for machine learning, is one of the most effective methods to develop predictive models.