Brief Course Description
1. Course Title:
Introduction to Data Analytics
2. Language of Instruction:
Vietnamese
3. Course Code:
INT547151
4. Credits:
3
5. Course Objectives:
This course introduces data analysis and related concepts. It provides fundamental knowledge of multivariate statistical data processing and methods for appropriately selecting descriptive statistical techniques for experimental data. Upon completion, students will be able to analyse and offer accurate interpretations of the results.
6. Brief Description of Course Content:
This course covers multivariate descriptive statistical analysis methods to uncover data structures, characteristics of experimental data, and relationships among these characteristics. The analysis methods include:
- Analysis of Variance (ANOVA): Both one-way and multivariate ANOVA to test differences between data groups.
- Principal Component Analysis (PCA): To reduce the number of variables and identify key components affecting the data.
- Correlation Analysis: To assess relationships between variables.
- Cluster Analysis: To classify and group objects based on their common features.
Students will be guided in using R software and packages such as SensoMineR and FactoMineR through specific case exercises. Problem-solving skills will be enhanced by building and executing data analysis projects based on real-world scenarios. Additionally, students will learn to represent and interpret results using graphical methods with support packages like ggplot2 to improve their presentation skills.