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Bigdata training Yelahanka Satellite Town Bangalore, bigdata training institutes Yelahanka Satellite Town Bangalore

List of Best Bigdata training Yelahanka Satellite Town Bangalore, bigdata training institutes Yelahanka Satellite Town Bangalore with address, Phone numbers, course fee, student reviews and training course learning at Yelahanka Satellite Town area in Bangalore City. As of June 18, 2018, We have total of 1 Bigdata training institutes in and around also near to Yelahanka Satellite Town in Bangalore.

 

 

training institutes Systems Domain - Head Office
Bangalore - Jaya Nagar

 

Best Institute

 

Systems Domain - Head Office at Jaya Nagar - center entrance photo_2888 Systems Domain - Head Office at Jaya Nagar - computer lab photo_2889 Systems Domain - Head Office at Jaya Nagar - theory class photo_2887 
Address: Head Office, Jayanagar 3rd block, Lucky paradise building, 4th floor, Jaya Nagar, Bangalore-560011 google map of 8726
Established in the year 1997, System Domain is headquartered in Bangalore and has more than twelve training institutes located across India. Awarded an ISO 9001 in 2008 Systems Domain - Head Office provides placement Bigdata training in Yelahanka Satellite Town , Apache Cassandra, Puppet, Apache Spark, BigData Certification, Big Data Analytics training classes at Jaya Nagar.
 
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Bigdata related Training courses in yelahanka-satellite-town

 

 

 

Bigdata Training in yelahanka-satellite-town - External Resources

 

 

 

 

 

Bigdata course Content / syllabus at yelahanka-satellite-town, bangalore.

We gathered most widely used Bigdata course content used by training institutes in yelahanka-satellite-town,bangalore. The Bigdata course syllabus covers basic to advanced level and it may vary based on Bigdata training classes offered in yelahanka-satellite-town.

 

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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