280 Hours of Classroom + Home assignments and projects
Candidates who want to be a Data Analyst, to work with Data Engineering and Data Quality with a high flair to softwares, programming and logical reasoning and apply thought process to business requirements and help the Analytics team to get insights out of the functional data. Basic communication skill is mandatory.
On successful completion of the course one could learn how to process Business data in different verticals, process, analyze and report and automate it using the essential softwares like SAS, Python, SQL, QlikView/Tableau, R and VBA. The Internship option for a graduate can start the career with the real experience in a learning environment. One could apply for the most demanding Data Engineering opportunities with leading companies
Dinesh Kumar R N
Roshan A R
MIAC - Mortgage Industry Advisory Corporation
Gupta Power Infrastructure Limited
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