NOTICE:
The Short Course in Multivariate Data will be conducted on 23, 25, 27 and 30 May 2022 from 6.30 pm to 9.00 pm. New registrations are accepted until 12 noon on 23 May 2022.
Target group:
Undergraduate and postgraduate students, researchers and clinicians who are keen on analyzing data gathered through research and making valid inferences by the application of statistics.
Selection of courses:
Although each course is designed in an independent manner, beginners are strongly recommended to follow the introductory course, “Data Collection and Exploration” prior to following more specialized courses.
Course fee:
Rs. 5000 per course.
Registration and closing date:
You can pay and register to any number of courses according to your requirement. The deadline for registration is on 09th February 2022.
Register Now!Course duration
Each course consists of 10 hours (4 sessions of 2.5 hrs) and includes hands on training using SPSS.
Certificate of Participation
Upon the successful completion of each course (at least 75% attendance), a certificate of participation will be awarded
Short course 1: Data Collection and Exploration
Resource Person: Dr. Rushan Abeygunawardana
Dates: 11, 14, 18, 21 February 2022 (Friday/Monday)
Time: 6.30 pm – 9.00pm
Day 1: Introduction to data types (qualitative/quantitative) and handling secondary data
Day 2: Data collection using survey methods
Day 3: Numerical data analysis with graphs and charts
Day 4: Random Variables and Distributions
Short course 2: Hypothesis testing and Experimental design
Resource Person: Dr. Dilshani Tissera
Dates: 28, Feb and 02, 07, 09 March 2022
Time: 6.00pm – 8.30pm
Day 1 & 2: Experimental data collection (CRD, RCBD, LS, Factorial)
Day 3 & 4: Hypothesis testing- parametric / nonparametric
Short course 3: Statistical modelling
Resource Person: Dr. Dilhari Attygalle
Dates: 18, 21, 25, 28 March 2022
Time: 6.00 pm – 8.30 pm
Day 1: Relationships between variables (correlation coefficient, Chi square test), Simple linear regression modelling, Model diagnostics and interpretations
Day 2: Multiple regression modelling, dummy variables and transformations
Day 3: Logistic regression modelling, model diagnostics and interpretations
Day 4: Log linear modelling, model diagnostics and interpretations
Following short courses will be held after the Sinhala and Tamil New Year. Exact dates of commencement will be advertised in the web by the last week of March.
Short course 4: Multivariate data
Resource Person: Dr. Gayan Dharmarathne
Dates: Two days per week in April/May 2022
Time: 6.00 pm – 8.30 pm,
Day 1: Multivariate data exploration
Day 2: Principle component analysis
Day 3: Factor analysis
Day 4: Cluster analysis
Short course 5: Forecasting methods
Resource Person: Dr. Sameera Viswakula
Dates: Two days per week in May
Time: 6.00pm – 8.30pm,
Day 1 & 2: Time series forecasting
Day 3 & 4: Epidemiological forecasting (forecasting the epidemiology based on risk factors/ risk factor analysis/ model validation and calibration)
