Brief Course Description
1. Course Title:
Data Analysis
2. Language of Instruction:
Tiếng Việt
3. Course Code:
M00465
4. Credits:
3
5. Course Objectives:
Học phần Phân tích dữ liệu nhằm trang bị cho người học kiến thức và kỹ năng cần thiết để thực hiện phân tích dữ liệu toàn diện và đưa ra quyết định dựa trên dữ liệu. /The Data Analytics course aims to equip learners with the knowledge and skills required to conduct comprehensive data analysis and make data-driven decisions.
6. Brief Description of Course Content:
The Data Analysis course systematically provides the necessary techniques when analyzing data, specifically including:
- Understand the importance of data analysis in different fields.
- Learn the basic terms and concepts of data analysis.
- Gain skills in collecting data from various sources.
- Perform data cleaning and preprocessing techniques to ensure data quality and usability.
- Use analytical tools and software (e.g. R, SPSS, Excel).
- Develop the ability to summarize and visualize data.
- Identify patterns, trends and anomalies in data sets using graphical and statistical methods.
- Understand the basic principles of inferential statistics.
- Perform hypothesis testing, correlation analysis and regression analysis.
- Understand different types of data models (e.g. linear regression, logistic).
- Develop predictive models and evaluate their effectiveness.
- Understand ethical considerations in data analytics.
- Learn about data privacy laws and regulations and how to comply with them.
- Create reports and presentations that effectively communicate analytical results.
- Apply learned concepts to real-world data analytics projects.