Statistical Analysis Presentation .
In this assessment, I completed tasks in Descriptive Statistics and Inferential Statistics (Significance Tests and Correlation) using R programming.
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Numerical Analysis
This module introduces key aspects of mathematics and statistics for data science and artificial intelligence using R program
Learning Objectives
I have learned how to :
- Demonstrate systematic understanding of the key mathematical and statistical concepts and techniques which underpin mechanisms in Data Science and AI.
- Apply mathematical and statistical methods in these fields to help in the decision-making process.
- Critically appraise and present statistical analysis results to a diverse audience.
- Critically evaluate the use of statistical analysis and the numeric interpretation of results as aids in the decision-making process.
Projects and Professional skills
In addition to the End of Module Assessments and Mathematics Test described below, I also completed formative activities in the form of Collaborative Discussions, R and RStudio coding Data Activities, and Statistics Quizzes.
Individual Reflection
This assessment focused on my reflections on the skills and knowledge gained from this module.
Interpreting statistical findings using p-value and confidence interval.
Producing summary tables, contingency tables, and producing plots using R.