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Bigdata training DLF Phase 2 Gurgaon, bigdata training institutes DLF Phase 2 Gurgaon

List of Best Bigdata training DLF Phase 2 Gurgaon, bigdata training institutes DLF Phase 2 Gurgaon with address, Phone numbers, course fee, student reviews and training course learning at DLF Phase 2 area in Gurgaon City. As of April 26, 2018, We have total of 1 Bigdata training institutes in and around also near to DLF Phase 2 in Gurgaon.



training institutes DexLab Analytics
Gurgaon - DLF Phase 2


training institute
Address: K-3/5 DLF Phase 2 Gurgaon-122002
DexLab Analytics provides placement Bigdata training in DLF Phase 2 , BigData Certification, Big Data Analytics training classes at DLF Phase 2.
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Bigdata related Training courses in dlf-phase-2








Best Bigdata training institutes in dlf-phase-2, gurgaon - Training Requirements

List of training requirements recieved for Best Bigdata training centers in dlf-phase-2, gurgaon.

tanya (dlf-phase-2 Gurgaon on 24-Jul-2017 )
Data Analytics training cost with job assurance support - bigdata training in gurgaon (dlf-phase-2)
Saurabh Tiwari (dlf-phase-2 Gurgaon on 29-Apr-2017 )
tell me about the fee structure . Bigdata (bigdata) - bigdata training in gurgaon (dlf-phase-2)
Kavita (dlf-phase-2 Gurgaon on 15-May-2016 )
There is no fee structure explanation on your can you mail me all details regarding Big data course on weekdays.Please prefer to mail me details. Thanks Regards, Kavita - bigdata training in gurgaon (dlf-phase-2)


Bigdata course Content / syllabus at dlf-phase-2, gurgaon.

We gathered most widely used Bigdata course content used by training institutes in dlf-phase-2,gurgaon. The Bigdata course syllabus covers basic to advanced level and it may vary based on Bigdata training classes offered in dlf-phase-2.


1.Big Data Analytics introduction
1.Big Data overview
2.What is a data scientist
3.What are the roles of a data scientist
4.Big Data Analytics in industry

2.Data analytics lifecycle
1.Data Discovery
2.Data Preparation
3.Data Model Planning
4.Data Model Building
5.Data Insights

3.Data Analytic Methods Using R
1.Introduction to R
2.Analyzing and Exploring the Data
3.Model Building and Evaluation
4.Machine learning-Theory and Methods
5. Introduction to analytics for unstructured data-MapReduce and Hadoop



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