COE :Data Science and Big Data Analytics Lab
With fast growing volumes of data in our world, the use of big data will become a key to accelerate productivity growth. Data and big data analytics are fast becoming the lifeblood of any successful business. Organizations are on the hunt for data scientists and analysts with expertise in the techniques required to analyze big data. They also need big data systems architects to translate requirements into systems, data engineers to build data pipelines, developers who know their way around Hadoop clusters and other technologies, and systems administrators and managers to tie everything together
The Department of CSE & IT have established Centre of Excellence in association with Dell EMC through ICTACT, to provide Industry oriented software training and certifications to the students and faculty members.
Features of this COE
- Become an immediate contributor on a data science team
- Assist reframing a business challenge as an analytics challenge
- Deploy a structured life cycle approach to data analytics problems
- Apply appropriate analytic techniques and tools to analyze BigData
- Use open source tools such as R, Hadoop,and Postgres
- Prepare for EMC Proven Professional Data Scientist certification
Total no of System : 30
Intel core i5 Processor 6th Gen(Up to 3.30 GHz,6MB cache) 8GB RAM,500 GB HDD,
System Type - 64 Bit Operating System
| S.No. | Name of the Industry/COE | Name of the Event Seminar/Workshop / FDP | Topic of the Event | Number of Participants | Date | |
| KNCET |
Outside |
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| 1 | - | Workshop | Data Science and Big Data Analytics | 30 | - | 30.11.2016 to 06.12.2016 |
| 2 | - | Workshop | Data Science and Big Data Analytics | 21 | - | 14.02.2017 to 16.03.2017 |
| 3 | - | Workshop | Data Science and Big Data Analytics | 25 | - |
31.05.2017 07.06.2017 |
| 4 | - | Workshop | Data Science and Big Data Analytics | 24 | - | June 2017 to August 2017 |
| 5 | - | Workshop | Data Science and Big Data Analytics | 28 | - | 19.5.2018 to 24.05.2018 |
| 6 | - | Workshop | Data Science and Big Data Analytics | 22 | - |
16.11.2018 23.11.2018 |
| 7 | - | Workshop | Machine Learning Techniques using R Programming | - | 18 | 08.02.2019 |
| 8 | - | Workshop | Data Science and Big Data Analytics | 22 | - | 21.11.2019 to 25.11.2019 |
| 9 | - | Webinar | Importance of Data Analytics and Business Intelligence | 65 | - | 22.01.2022 |
The top 19 big data and data analytics certifications
- Analytics: Optimizing Big Data Certificate
- Certificate in Engineering Excellence Big Data Analytics and Optimization (CPEE)
- Certification of Professional Achievement in Data Sciences
- Certified Analytics Professional
- Cloudera Certified Associate (CCA) Administrator
- Cloudera Certified Associate (CCA) Data Analyst
- Cloudera Certified Associate (CCA) Spark and Hadoop Developer
- Cloudera Certified Professional (CCP): Data Engineer
- EMC Proven Professional Data Scientist Associate (EMCDSA)
- IBM Certified Data Architect – Big Data
- IBM Certified Data Engineer – Big Data
- Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics
- Mining Massive Data Sets Graduate Certificate
- MongoDB Certified DBA Associate
- MongoDB Certified Developer Associate
- Oracle Business Intelligence Foundation Suite 11 Certified Implementation Specialist
- SAS Certified Big Data Professional
- SAS Certified Data Scientist Using SAS 9
- Stanford Data Mining and Applications Graduate Certificate