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Atlantic International University, Atlantic International University

Achieve Your Statistics Goals with an Effective Statistics Tutor

Maximize your performance in statistics with targeted tutoring designed to help you reach your learning goals. Late last year I completed my Doctorate Degree studies in Entrepreneurship and Innovation from Atlantic International University (AIU) and “Quantitative data analysis in research” was one of the courses of the Degree’s programme structure, which I passed with an excellent mark, probably attributably to my under- and post-graduate degrees having been in Economics with statistics. The Doctorate Degree’s research methodology’s Quantitative data analysis focus was on practical issues, including: preparing data for analysis; using SPSS, Stata and Genstat; and presenting results. Topics were covered include testing mediating and moderating hypotheses, quadratic and log-linear regressions, ANOVA and MANOVA, factor analysis, path models, two-stage (three-stage) regressions, hierarchical linear modeling, and meta-analysis. During my tenure as a lecturer at Uganda Christian University (UCU) - Kabwohe Study Centre ((2016 - 2018), Kampala International University - Ishaka Branch (2017- 2018), and Ankole Western University (2016-2022), and currently at Team University, I had/have had the opportunity to teach a diverse range of disciplines, including Probability and Statistics, Business Statistics, Quantitative Methods, Entrepreneurship, Operations Research, Operations Management, and Managerial Economics. These experiences have not only honed my pedagogical skills but have also allowed me to cultivate a dynamic and engaging teaching style that resonates well with students. My supervision of students’ research works plus private research consultancies in both of which I have used quantitative methods (utilizing SPSS, Stata, Genstat and MS Excel), and qualitative methods (utilizing Atlas.ti), have equipped me with a comprehensive experience of research, data mining, processing, analysis.

Subjects: Business Analysis, Data Analysis, Scientific Research, Statistical Package for Social Sciences (SPSS), Statistics