Two Days Workshop on Data Mining Using STATISTICA

Two Days Workshop on Data Mining Using STATISTICA was conducted in association with Statsoft by the Computer Centre, PEC University of Technology, Chandigarh. STATISTICA is StatSoft’s flagship product line suite of analytics software products and solutions. It provides the most comprehensive array of data analysis, data management, data visualization, and data mining procedures. Techniques used in STATISTICA include the widest selection of predictive modeling, clustering, classification, and exploratory techniques in one software platform.

The Programme commenced with a Welcome Speech by the Coordinator of the programme, Sh. Sanjay Batish, Head, Computer Centre, PEC University of Technology who explained how Data Mining has become an integral and accepted part of academics and how data visualization is increasing in importance day by day. Mr. Rajat Srivastava, Statistician, Statsoft India and Mr. Vijay Shankar, Data Scientist, Statsoft India then delivered the introductory speech on the importance of the course.

The 2 day programme on 27th and 28th June, 2016 attended by various Faculty Members and Research Scholars of PEC University of Technology comprised demonstration and explanation of various options and techniques for Data Mining offered by STATISTICA. The workshop included the most comprehensive selection of methods and techniques for the participants to solve complex problems. During the hands on session the participants used STATISTICA in the Computer Centre and experienced how it is optimized for use with large data files and how it has been enhanced further to speed computation time and improve scalability and performance.

The programme concluded with a Valedictory Session where Prof. Manoj Arora, Director, PEC University of Technology interacted with all the participating members of the Faculty and Research Scholars and urged them to use such tools in their research and academic processes. All the participating members were awarded with certificates for attending the program at the end of the session.

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