MUCE002

Data Science and Data Governance

Asst. Prof. Sotarat Thammaboosadee

5.0

(8)

MUCE002 Data Science and Data Governance

1. Detail

The "Data Science and Data Governance" course focuses on learning about data creation and management in the digital age. The content is divided into three main topics: Data Ecosystem and Data Science, Data Governance and Enterprise Data Management, and Enterprise Data Governance Structure. This course will enable students to understand principles and techniques in data analysis, data quality management, and innovation with data.

In the module of Data Ecosystem and Data Science, students will learn about data operations and applications within organizations, including data presentation and efficient data modeling. For Data Governance and Enterprise Data Management, this module teaches methods and frameworks for maintaining data quality, data security, and compliance with regulations and standards. Finally, the Enterprise Data Governance Structure modulesection emphasizes creating operational models, defining various data management roles, and strategies for achieving data governance objectives.

This course is suitable for those looking to develop an understanding and skills in data science and data governance to apply in their work or business. Students will receive comprehensive knowledge from basic to advanced levels to effectively and confidently apply this knowledge in real-world situations.

2. About the course:

The "Data Science and Data Governance" course delves into digital era data creation and management, encompassing three pivotalareas: Data Ecosystem and Data Science, Data Governance and Enterprise Data Management, and Enterprise Data Governance Structure.

3. Objectives:

Posses the knowledge and awareness of data science and data analytics and their related functions
Understand the components of data management in enterprise
Understand the data governance frameworks and how to design the organizational operating models.

4. Target group:

Individuals looking to enhance their understanding and skill set in data science and data governance to leverage in their professional career or business ventures.
Professionals across various sectors who seek to understand and implement effective data management and governance strategies in their organization.

5. Period:

Total online leaning hours 3 hrs.
Self-paced

6.Evaluation

The results are measured and assessed through the post-test of 100 points. Students must score a total score of 70 % or more of all modules to be able to obtain the certificate.

Category

Digital Literacy Preparation for future skill MUGR

2 Main Topics