During our more than 15 years of supervising numerous graduate student projects and reviewing for academic journals, I have noted a concerning trend where in many cases, graduate students (Master and PhD researchers) set forth into their projects with scanty knowledge and guidance concerning statistical aspects of experimental / research design, data analysis and interpretation.

This leads to various common scenarios:

1. The student collects data from ill designed projects. This compromises the value of the data academic reports such as dissertations, theses, publications and conference abstracts.

2. Data is collected but poor analysis masks the wealth of knowledge contained in the dataset. Resulting academic reports suffer what I can call an inference deficiency syndrome. This is sometimes either captured by supervisors, examiners or peer reviewers during publication with adverse impact on completion of studies or research task.

3. Lack of agreement between students and supervisors or in worse cases adverse judgement by the observant examiner or peer reviewers.

This can be avoided, and the process made smooth through proper guidance by qualified statisticians. Unfortunately, access to qualified statisticians is largely limited and where staff at universities provide guidelines, they are either less equipped statistically or do not have enough time and motivation to provide proper in-depth instructions. This kindled our passion to transfer skills in academic data analysis so that we can expect to bring out only the best from your research design, analysis and interpretation.

As Academic Data Analysts,

We borrow from more than 15 years of student supervision and world class advanced training in statistics to bring personalized mentoring solutions to academic research planning, data analysis and interpretation in an interactive approach while empowering students or researchers with skills to re-run and defend choice of analysis approaches. We only mentor you to deliver work that all involved can be proud of!

Our social responsibility drives our training objective to enhance access to world-class data analysis skills and open access tools to the less reached groups. .

It is always our excitement and joy whenever our course participants present publication, thesis, or presentation-ready analysis on the last day of our courses.