Virtual Short Course Series in Statistics for Biologists

NOTICE: The Short Course in Statistical Modelling which was scheduled to be held on  18, 21, 25, 28 March 2022  is now changed to 21, 25, 28 March and 1st April  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)