Course Description

John Wiley & Sons, Inc. USA
Course curriculum
-
1
Additional Learning Material for Aspiring Data Scientists
-
Introduction to Big Data
-
Introduction to Deep Learning
-
Introduction to DevOps
-
Introduction to Dimensionality Reduction
-
Introduction to Distributed Computing
-
Introduction to Functional Programming
-
Introduction to Graphical Models
-
Introduction to Grid Computing Part-2
-
Introduction to Grid Computing
-
Introduction to HDFS Quotas
-
Introduction to Internet of Things (IoT)
-
Introduction to Kanban
-
Introduction to Microservices
-
Introduction to Neural Networks
-
Introduction to Operational Databases
-
Introduction to Parallelism in Computer Architecture
-
Introduction to Scribe
-
Introduction to Scrum Methodology
-
Introduction to Spark Computing Framework
-
Introduction to Workflows
-
Service-Level Agreement (SLA)
-
Support Vector Machine-What is Classification
-
The Hadoop 2 Ecosystem
-
Tools for Cluster Management
-
Evolution of Analytical Scalability
-
Features of Avro
-
Introduction Machine Learning
-
Introduction to Agile Methodology
-