Get The Best Data Science Online Training At Great Flexibility

Whether you are a fresh graduate and wish to become a data scientist, or you are already in a career in data science, we are here to offer you a certification course to enhance your skills more. Whether you are a start-up or you belong to a large organization, you are sure to get benefited with the level of training offered.

It doesn’t matter, whether you are a professional or an analyst or even a simple graduate. If you have a basic knowledge of data analysis and programming, you can approach for the Data Science Online Training with us at your own flexible time.

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23
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Rs. 16000/-Enroll Now

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Rs. 16000/- Enroll Now

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Jan

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Rs. 16000/- Enroll Now

08
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An Overall Summary Of The Course

The certification course offered comes along with some programs such as that of SAS, R, and Python and also advanced SAS. Thus, some of the topics that are covered by the candidates in the course are a data science analytics overview, business application and statistics, data modeling and SAS language, introduction to R, scientific distributions, machine learning, SQL operations and others.

Again, there are choices here such as either you can consider getting trained in all the topics, or you can select a particular specific topic in which you wish to get trained. Whatever you choose, you are sure to get trained in both theoretical as well as a practical mode so that you can not only know the basic levels but also are aware of the professional ways.

What You Get Here?

We provide the candidates with the best faculty support even in the case of Data Science Online Training. There are live sessions available from different faculties so that you can have a class like feel whenever and wherever you wish to have. The faculties are well skilled and are also well experienced so that you can have training that is worth. Not just the live sessions, if these faculties are available at different times over the phone or chat sessions or even on emails regarding any doubt that you have and you want to clear out at your flexible time.

If you need more amount of support, then there are many pre-recorded classroom sessions and also other training programs that you can follow on the online portal itself. Also, there are reference materials available so that you can have the best training session here. Along with these study materials and references, there are also many mock tests available online so that you can get yourself practiced for the test for the certification. Thus, you can get prepared for the test and also for the practical career with the help of the various live projects available online.

Data Science is a concept that is being used in almost all the sectors such as communication, IT, finance, and many others. Hence, various organizations are hiring candidates who are either data scientists or someone who is experienced in such field. We offer the best training in such reference so that candidates can get the best organizations and the organizations can hire the best candidates too.

Learning objectives – In this module, you will learn about the: basic concepts of UNIX, LINUX, Java, HDFS, Big Data, Hadoop, Hadoop data loading techniques, Solving big data problems using Hadoop, MapReduce, Hadoop cluster and role of Hadoop cluster.

Topics: Introduction to UNIX, Introduction to LINUX, Introduction to Java, Introduction to HDFS, DWH Concepts, Pig & Hive, Map reduce.

Learning Objectives – In this module you will learn about Multiple Hadoop Server roles, Understanding Pseudo cluster, Installation of Hadoop, Understanding Map-Reduce, files configuration and parameters.

Hadoop Installation, Hadoop Configuration, Understanding pseudo-distributed mode, deploying multi-node cluster, Role of Hadoop server, Rack knowledge, Write and Read Anatomy, Data Processing.

Learning Objectives – In this module you will be Understanding Hadoop Cluster setup, concepts of managing and planning Hadoop cluster, Troubleshooting Hadoop cluster, Monitoring Hdoop cluster, Executing MapReduce Jobs.

Topics: Concepts of Hadoop Cluster, Scheduling jobs, Monitoring cluster, Cluster Size, Knowledge about Hardware and Software portions, Schedulers in Hadoop, Troubleshooting cluster, Schedulers Configuring and run Map Reduce.

Learning Objectives – This module will help you to understand Clustering basics, Clustering administration tasks like adding or deleting data nodes, Node recovery, Configuring in Hadoop, Backup in Hadoop, Recovery in Hadoop, Troubleshooting node failures and Upgrade Hadoop.

Topics: Maintaining Hadoop Backup, data nodes white list and blacklist in a cluster, quota’s setup, upgrading Hadoop cluster, DISTCP, Diagnostics, Recovery, Cluster Troubleshooting, Rack Configuration.

Learning Objectives – In this module our main focus is to understand Hadoop 2.0 New Features, HDFS, YARN, Hadoop 2.0 setup, MRv2, Secondary NameNode setup, NameNode check pointing.

Topics: Configuring Secondary NameNode, , Deploying Hadoop 2.0 in pseudo-distributed mode, Hadoop 2.0, YARN, MRv2, Hadoop 2.0 Cluster setupdeploying a multi-node Hadoop 2.0 cluster.

HQL and Hive with Analytics

Learning Objectives- After completing with the basics, In this module you will strengthen concepts about Hadoop security, Managing Hadoop security, HDFS High Availability, HDFS setup and Log Management and Quorum Journal Manager

Topics: Hadoop Platform Security, Configuring Kerberos, Auditing and Alerts, Configuring HDFS, Monitoring, Log Management and Service Monitoring.

Learning Objectives – This module will assist you in learning Oozie Workflow Scheduler, deploying HBase, Hive Administration, effectively load data, read and write from HBase.

Topics: No SQL, H base, Zookeeper, HBase Architecture, Sqoop, Flume, HBase setup, Oozie, Yarn and Hue.

Learning Objectives – In this module you will work on a real-world case and learn about implementing, planning, designing and deploying Hadoop cluster. You will also learn about Hadoop eco-system components.

Topics: Implementing, planning, designing and deploying Hadoop cluster, Hadoop ecosystem components, troubleshooting cluster problems, AWS cluster.

This module in the Big Data Hadoop Course helps the learners in understanding Hadoop 2.0 features like MRv2, YARN and HDFS Federation.

The topics covered are New Features of Hadoop 2.0, High Availability of NameNode.

This module helps the readers in understanding how different Hadoop ecosystem elements work together towards Hadoop implementation for solving Big Data issues.

Rs. 14,000 + Tax

per 2 weeks

35 Hours
Practical 40 Hours
15 Seats
Course Badge
Course Certificate

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