Course Overview
Advanced Methods in Data Science and Big Data Analytics Course Overview
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. With a technology-neutral approach, this course utilizes several open-source tools to address big data challenges.
Advanced Methods in Data Science and Big Data Analytics Course Key Features
100% Money Back Guarantee- Official courseware + exam voucher included
- Live online + classroom format options
- Hands-on labs and real-world case studies
- Simulation tests at the end of training
- Up-to-date curriculum aligned to the latest exam version
- Includes 5 mock exams, 150 questions each
- 24×7 learner assistance and support
- 30-day re-attendance guarantee
Skills Covered
- Risk management & governance
- Identity and access management
- Security architecture & engineering
- Communication and network security
- Asset security
- Security assessment & testing
- Security operations
- Software development security

