Big Data Modules:
Big Data Analytics: This module covers data analytics in a distributed computing environment using Apache Spark.
Big Data Systems: This module covers distributed computing environments for “big data.” Big Data Systems are platform for parallel computation or cluster computing. Topics include shared memory, map-reduce, clustering, concurrency, task parallel versus data parallel, database integration, multi-threading and networked file systems.
Blockchain: This module is an introduction to the basics of Blockchain and Distributed Ledger technology.
Cloud-Scale Machine Learning – Development 2021
Data Science Architecture: This module presents a general overview of frameworks and orchestration schemes for big data system processing, storage, and reporting.
Data Science Infrastructure: Development 2021
Data Warehousing (OLAP, OLTP, MDX, SSAS): Development 2021
Dimensional Reduction Methods (High Dimensional Data): This module explains the meaning of dimensionality reduction and the reasons for using it. It covers several dimensionality reduction methods such as linear discriminant analysis, principal components analysis, independent component analysis, factor analysis, and singular value decomposition. The module shows implementation examples using Python Scikit-Learn library.
HADOOP, Fundamentals: Development 2021
HDFS GDFS, Fundamentals: Development 2021
Internet of Things (IoT), Fundamentals: This module will provide students an introduction of the Internet of things. Students will learn the definition of IoT as well as its building blocks and its human components.
Logistic Regression: This module covers estimating a logistic regression model, hypothesis testing of coefficients of a model and interpreting results from a logistic regression analysis.
MR Fundamentals: Development 2021
NoSQL Databases: This module provides an overview of the more generally accepted techniques of the topic that is NoSQL. NoSQL is defined as either “Not Structured Query Language” or “Not only SQL.”
Resilient Distributed Datasets (RDDS), Fundamentals: Development 2021
Resampling Methods: This module covers various resampling methods using R.
Shrinkage Methods: Development 2021
SPARK, Fundamentals: Development 2021
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