Advanced Methods in Data Science and Big Data Analytics

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This course builds on skills developed in the Data Science and Big Data Analytics course. The main focus areas cover Hadoop (including Pig, Hive, and HBase), Natural Language Processing, Social Network Analysis, Simulation, Random Forests, Multinomial Logistic Regression, and Data Visualization. Taking an “Open” or technology-neutral approach, this course utilizes several open-source tools to address big data challenges. This training prepares the learner for Dell Technologies Proven Professional advanced analytics specialist-level certification exam (E20-065).

Upon successful completion of this course, participants should be able to:

• Develop and execute MapReduce functionality
• Gain familiarity with NoSQL databases and Hadoop Ecosystem tools for
  analyzing large-scale, unstructured data sets
• Develop a working knowledge of Natural Language Processing, Social
  Network Analysis, and Data Visualization concepts
• Use advanced quantitative methods and apply one of them in a Hadoop
  environment
• Apply advanced techniques to real-world datasets in a final lab

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