Digital Analytics in Applied Research

Training Provider: Republic Polytechnic
Course Reference: TGS-2021004976
S$292
Original: S$972
Save S$680

About This Course

1. Explain the importance of digital means of data collection and communication in research.
2. Discuss the key tenets of social science research within a digital context.
3. Analyse the data obtained within a digital context
4. Evaluate published research on digital research with a critical eye.
5. Analyse either qualitative or quantitative data that is captured on digital platforms.
6. Develop a research proposal on digital needs assessment or programme evaluation.
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What You'll Learn

Applied research and analytics using digital means is becoming increasingly vital amongst social purpose organizations today. Developments in technology is enabling convenient capture and analysis of digital data and this is driving rapid development of various environment, social and governance metrics in the business and donor’s world. Therefore, there is an increasing need for social sector organizations, non-profit organizations and social enterprises to harness digital means to document their outcome and impact, and in the process inform and improve service design and delivery.

This module looks into digital technologies and social innovation tools that track and measure the success of social services and familiarizes students with the methodological deliberations in collecting and analyzing digital data to assess the effectiveness of a programme or to conduct a needs assessment.
Students gain knowledge on the methodological deliberations in conducting applied research online, digital ways of capturing social data, as well as identification and selection of appropriate data analytics tool to produce the research analyses.

Entry Requirements

The minimum entry requirements (MER) for the SD for Digital Social Service are as follows:
• Relevant local polytechnic diploma or degree in any discipline;
• For applicants who do not meet the MER, the School will consider discretionary entry based on the structured process for discretionary entry of CET Diploma Programmes approved in Senate 02(13) DP07 Proposal for Structured Process for Discretionary Entry of CET Diploma Programmes.

Course Details

Duration 30 hours
Language English
Training Commitment Part Time
Total Enrolled 1 students
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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