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 course prepares the student for the Specialist - Data Scientist, Advanced Analytics (DECS-DS) certification exam and track.
This course is intended for:
Upon successful completion of this course, participants should be able to:
|Advanced Methods in Data Science and Big Data Analytics||Instructor Led||5 Days Course|
|Advanced Methods in Data Science and Big Data Analytics||Video Instructor Led Training - Stream||40 Hours|