In today’s fast developing world, hands-on skills for the not—for- profit organisations, business researchers and corporate executives, university students and academics need not only to be top-notch, but also dynamic and well rounded. One such an area where many individuals find challenging to maneuver around pertains to data analysis; quantitative and qualitative, skills for data visualizations during presentations and creating meaningful inter In today’s fast developing world, hands-on skills for the not—for- profit organisations, business researchers and corporate executives, university students and academics need not only to be top-notch, but also dynamic and well rounded. One such an area where many individuals find challenging to maneuver around pertains to data analysis; quantitative and qualitative, skills for data visualizations during presentations and creating meaningful interpretations of findings to an audience with much ease. This short course is the answer to the above urgent industry need. Data analysis is an integral part of any scientific study that includes data organizations, data display through for instance graphs, model fittings and other computational components. Additionally, the other growing concern is also about how one can manage ‘thick data’ for those have passion for qualitative analyses. The visualization of the inherent characteristics of the raw data is also an important part of this short intensive course. The appropriate understanding of statistical methodologies and manipulation with easy-to-use software such as MS Excel & SPSS lead to an effective data analysis. Therefore, data visualization provides a powerful way to effectively communicate data-driven findings, motivate analyses, detect flaws and enhances one’s profession writing and argumentation prowess.  This course is definitely for those with interest in multiple techniques as regards research designs and data collection, data analyses, visualization, interpretation and effective communication of findings.

• To equip participants with hands-on skills and competencies in usage of computer aided data analysis approaches, visualisation and data management in various domains such as academic research, consultancy and monitoring and evaluation purposes.

At the end of the program Learners should be able to:
1. Understand and practice field research and its intricacies e.g. by doing a pilot test.
2. Appreciate the various research designs for business and social science related phenomena
3.Apply appropriate data collection techniques for enhanced quality data capturing and management
4.Understand and apply suitable data analyses tools such as MS Excel and SPSS in terms creation of data entry templates
5.Have hands-on data analyses procedures using various tools for various types of studies-quantitatively and qualitatively.
6.Know how data visualisation is best done and how to make cogent, coherent and clear arguments and interpretation
7.Know the language and art of effective presentation for professional and academic platforms.

1.Ability to develop and synthesise data collection tools
2.Ability and technical-know how on managing data analysis software
3.Knowledge and skills on data entry, cleaning and analyses
4.Hands-on skills on how to interpret, export and use findings for reporting purposes
5.Skills on how to conduct findings presentations using visualisation techniques
6.Professional knowledge on effective business set up communication-verbal, written and body language techniques