Data Science With Python
After completing this course the student will understand all the scientific libraries of python with all required operations on different data sets. You will learn and practice problem solving techniques like pandas, scikit, numPy, sciPy, matplotlib and many more. This will also give you an insight into how to manipulate, analyze, and perform various actions on complex data sets. You will be able to build python scientific and numeric applications easily.
Bigdata Hadoop & Spark (Scala)
After completing this course the student will understand all the big data concepts like hadoop Map reduce framework, architecture, oops in core java, hadoop ecosystem, apache pig, apache hive, oozie, sqoop, hbase, apache flume and Apache Spark framework using Scala . After course you will be able to to handle big data ETL operations, data warehousing, data streaming, data processing using hadoop and spark. You will be able to find insights from versatile data and do in detail data analysis. You can seek a job as Big data developer. The demand for Big data and Hadoop with spark is high. There is a massive growth, and you will certainly increase your job opportunities.
Web Services Using Java
After completing this course the student will understand all the fundamental concepts of web services using java like Jersey Restful web service, Spring Boot Rest API, Consuming web service, Exception handling, Web API Documentation using Swagger and securing web services with user level authentications. You will be able to build java based REST API applications and Implement a Service-Oriented Architecture (SOA) using web services. With this training, you also learn how secure web services using both Java-specific and language-independent security technologies, and how the Java APIs – JAX-WS and JAX-RS – deliver a set of powerful tools for developing a Service-Oriented Architecture (SOA).
