පරිගණක ආශිත දත්ත විශ්ලේෂණය පිළිබඳ පුහුණු වැඩසටහන 2018

පරිගණක ආශිත දත්ත විශ්ලේෂණය පිළිබඳ පුහුණු වැඩසටහන 2018 සඳහා අයදුම්පත් දැන් බාරගනු ඇත

අයදුම්පත් සදහා අවසාන දිනය : 19.01.2018

වැඩි විස්තර සදහා : www.sjp.ac.lk/management-commerce/training-programme-computer-based-data-analysis-2018/

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A Training Programme on Computer Based Data Analysis – 2018

This programme provides participants with an introduction to the management and analysis of quantitative data using an appropriate software package. The programme explores the nature of quantitative data, the relationship between quantitative analysis and theory building, and some of the major topic areas of statistical analysis. Knowledge of these allows for a more thorough understanding of others’ research, especially as reported in journals and government publications. In addition, these techniques are used in a number of research settings, non-profit organizations, for-profit research institutes, and local, state and national governmental agencies. Revised programme in 2017 introduces two levels.

Level-1: Level one does not require the candidates with prior use of statistical software applications. Level one is focused on general purpose statistical data analysis.

Level-2: Level two focuses more advanced applications in multivariate analysis. Therefore, the level two of the programme expects the candidates either to complete level one of this programme or to participate with equal prior experience with use of statistical software applications.

Closing Date for Applications : 19.01.2018

Lectures : Weekends Saturday, 9.00 am to 4.00 pm

Commencing on February, 2018

Further inquires should be directed to the Coordinator, Dr. Chathurani Silva by calling 076-4703955, email at: cbda.dsc@gmail.com or head.dsc@sjp.ac.lk.

Upcoming Events

  1. Research Awards – 2021/2022/2023

    November 22 @ 5:00 pm - 9:00 pm
  2. “Japura Kadamandiya” – Japura Entrepreneurs’ Entrepreneurial market

    November 28 @ 4:00 pm - 8:00 pm
  3. 9th International Conference on Humanities and Social Sciences – 2025

    19th March 2025 @ 8:00 am - 20th March 2025 @ 5:00 pm

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