Requirements
- Education Level: Form Four (IV) and Above
- Working Experience: The course is designed for trainees with at least a basic level of understanding of statistics, as well as knowledge of computer fundamentals
- Age: 16 Years and Above
Features
- The General objective of this course is to introduce trainees to these technologies. The core technologies are data analytics and decision making.
Target audiences
- Executives across every department of the organization who are dealing, or are involved with, data, and decision processes.
- Managers who will be in strategic positions in the future.
- Anyone dealing with important decisions, either in private or public organizations, as well as small enterprises.
- Instructor: Joshua Mwankusye
- Duration: 4 weeks
COURSE COMPETENCES
At the end of the course, the student will be able to:
- Enhance data analytics ability to evaluate evidence from
statistical learning and data science, in order to make
informed decisions. - Enhance the decision making in a comprehensive top-level
understanding of cores concepts and methods of data
science, including data management, data analysis, machine
learning, and statistical learning.
COURSE CONTENTS
- Introduction and computing environment setting.
- Sales data summary and analysis: Pivot table.
- Sales seasonal/promotion effect analysis: moving
average. - Sales seasonal/promotion effect analysis: moving
average. - Sales data analytic tools: Checkbox, Spikeline.
- Sales forecasting: regression, dummy variable.
- Sales forecasting: neural network 1Mode of Evaluation of
Performance. - Sales forecasting: neural network 2.
- Market segmentation: cluster analysis.
- Market segmentation: decision tree.
- Conjoint analysis.
- MCDM: AHP (analytical Hierarchy Process) 1
- MCDM: AHP (analytical Hierarchy Process) 2
- R program: Introduction and Basic functions
- Bankruptcy prediction : R program decision tree
- Bankruptcy prediction : R program neural net
MODE OF EVALUATION OF PERFORMANCE
- The course shall be conducted through demonstration and
practical. - Daily practical shall be done to promote learning.
- At the end of each unit, Theory and Practical assessments shall
be conducted internally by the respective teacher.
DURATION
4 Weeks, 2 Hours Each Working Day