DATA SCIENCE AND APPLICATIONS

Course Syllabus

DURATION:
10 sessions
ID:
DAS_26
CREDIT:
3

INSTRUCTORS:

Trần Thị Tuấn Anh
GIẢNG VIÊN

Address

1A Hoang Dieu, Ward 10, Phu Nhuan, HCMC   View map

Categories

Analytical Tools , MAE
  1. Identify the role of data and data science capability as a strategic asset;
  2. Knowing about descriptive, predictive and prescriptive analytics and appreciate the relationships between these streams;
  3. Recognize how different data science methods can support business decision-making;
  4. Knowing some basic data analytic techniques for solving business problems;
  5. Knowing about Python which is widely used in data analytics;
  6. Knowing about applications of data science in real world problems.

1 Overview of data science and data-analytic thinking;
2 Introducing Python;
3 Machine Learning with Python;
4 Real-world Applications of Machine Learning;
5 Data Science and Business Strategy;

  • Class participation and group discussion: 10%
  • Presentation and reporting of assignments: 30%
  • Course project: 60%
  • Provost, F. and Fawcett, T. (2013) “Data Science for Business: What you need to know about data mining and data-analytic thinking, 1st Edition.
  • Jake VanderPlas (2016). “Python Data Science Handbook – Essential Tools for Working with Data”

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