Overview

The programme, introduced in 2011 as a “Training Programme on Computer-Based Data Analysis,” is being relaunched with minor changes to provide a foundation for quantitative methods by examining the fundamental statistical theories underlying common statistical procedures. It provides participants with an introduction to the management and analysis of quantitative data using a suitable software package. The programme examines the nature of quantitative data, the relationship between quantitative analysis and theory-building, and key topics in statistical analysis.

These skills enable participants to better understand others’ research, particularly as presented in academic journals and government publications. Additionally, the techniques taught in this programme are widely applicable in various research settings, including non-profit organisations, for-profit research institutes, and local, state, and national government agencies. The program does not require prior experience with statistical software and begins with general-purpose statistical data analysis. The latter part of the program covers advanced applications in multivariate analysis.

Objectives

This programme is designed to equip participants with comprehensive knowledge and essential skills to perform statistical operations using accessible and cost-effective software. The programme also aims to raise awareness of research strategies and the methodological and technological limitations of statistical techniques and their applications. Participants will develop the ability to identify and use the most appropriate software for scientific and business research. They will also learn to input, organise, and structure data to optimise it for specific research purposes. The programme provides a balanced understanding of both the theoretical and practical aspects of statistical techniques. It emphasises the interpretation of data for effective decision-making and teaches participants how to present research results accurately and in a user-friendly manner.

Intended Learning Outcomes

Upon completion of the programme, the participants could be able

– to develop analytical/statistical skills as

  • Ability to perform analysis within the overall research logic, selecting appropriate
    statistical methods for specific research frameworks and hypotheses.
  • Understand the nature and logic of the composition and interpretation of underlying statistical criteria and procedures.
  • Awareness of the relationship between the obtained statistical results and the
    processes going on in real life.

-to develop computer skills as

  • Selection of appropriate software depending on the nature of the analysis.
  • Prepare datasheets, generate necessary outputs and arrange them as appropriate for report writing.
  • Utilise the related software (Word, Excel, PowerPoint) as additional tools to facilitate the presentation of outputs..

-to develop presentation skills

  • Ability to prepare reports on statistical data analysis in various formats, including academic reports, business reports, and scientific articles.
  • Ability to explain the logic behind selecting and applying specific procedures for
    various research tasks
  • Ability to select presentation methods tailored to the specific needs of the target
    audience.

Content Outline

CBDA: General-purpose Statistical Analysis

  • Introduction to Statistical Software
  • Data Visualisation – Descriptive Analysis of Data
  • Fundamentals and Advanced Techniques of Inferential Statistics
  • Testing Associations between Variables
  • Modelling Relationships between Variables
  • Introduction to Multivariate Analysis
  • Analysis of Multivariate Responses
  • Modelling Structural Relationships between Theoretical Constructs
  • Introduction to Covariance Based SEM (Structural Equation Modelling) and
    • Components-based SEM (Partial Least Squares)
  • Experience in Partial Least Square SEM

Target Audience

This programme is suitable for an audience related to any of the following professions;

  • In-service executives and professionals who wish to enhance their effective decision making ability.
  • Employees of government and private research institutes who seek to develop their career.
  • Employees work in research divisions of organizations such as financial institutes, stock broking firms, insurance companies etc.
  • Postgraduate students who intend to improve their knowledge on statistics and data analysis techniques.
  • University and other academic staff members who wish to enhance their knowledge and skills in quantitative data analysis.

Duration of the Programme and Fees

The programme covers 45 hours of lectures and practical sessions in a modern computer lab.
The sessions will take place on Saturdays from 9:00 am to 4:00 pm for eight weeks.
The programme will provide the necessary reading material and aids. The resource persons will also provide complementary advisory and troubleshooting support services.
The programme fee is as follows:

  • The programme fee of Rs. 45,000/-
  • Application Processing Fee of Rs. 1000/-
  • Registration fee of Rs. 1000/-

* A limited number of scholarships will be provided for the final year undergraduates of the University of Sri Jayewardenepura, for the CBDA programme. The scholarship is worth 50% of the programme fee.

Admission Eligibility

Candidates can apply for this programme if they meet the following requirements.

  • A bachelor’s degree from a recognised university.
  • A research student* registered in a higher education institution.
  • A research officer with at least two years of working experience in the same
    position.
  • Professional or academic diploma/certificate accepted by the University Senate, accompanied by at least two years of relevant work experience.
  • A student completed the G.C.E (A/L) with at least a “C” pass for the subject
    “Business Statistics”.

*-Final year undergraduate or postgraduate student

Eligibility for the Certificate

Participants must maintain an attendance rate of at least 80% during the study period.
Upon completing the programme, participants will receive a certificate of participation.