To create, store, retrieve and manipulate databases. Then analysis part involves in data processing, visualization, presenting interactive dashboards.
·Involved in database management systems(DBMS) to manage the data.
·Worked on Agile Methodology (Scrum Framework) to meet timelines with quality deliverables.
·Involved in gathering and preparing the requirements from clients.
·Involved in Using different tools like Tableau, Microsoft powerBI, for visualization.
· Used Tableau and R shiny apps for all interactive dashboards.
· Applied data mining algorithms as part of the research team.
This is an interdeciplaniary course, the courses in this program are offered by the department of statistics and computer science. the course starts with basic statistics and database management systems, followed by machine learning and Bigdata and modern applied statistics.
·Completed courses in Data science using Python and R offered by DATA-CAMP in edx.org.
· Data Science and Fraud analytics using SAS offered by JIGSAW Academy - India's top institute in Business Analytics.
·Machine learning for data science and Analytics
(offered by University of Columbia)
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