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Introduction
This course builds upon the Python basics, covered in MH8811 Python Programming, to understand a more comprehensive use of Python with its famous libraries, such as Numpy, Pandas, Matplotlib, Seaborn, and Scikit-learn. This course will train the students for Python programming skills for data analysis.
*This course is credit-bearing and stackable to Graduate Certificate in FinTech Essentials.
To equip students with Python programming skills for data analysis.
- Data processing with Python
- Data analysis with Numpy in Python
- Data analysis with Pandas in Python
- Data visualization with Matplotlib and Seaborn in Python
- Machine learning with Scikit-learn in Python
FinTech positions such as Data Specialists.
Prior knowledge of R or Python programming is recommended for this course. Learners are strongly encourage to complete MH8811 Python Programming as the pre-requisite.
Standard Course Fee: S$2,675.00
| Course fee payable after SSG funding, if eligible under various schemes | |
Cat-A SSG Funded Courses | S$802.50 |
| Enhanced Training Support for SMEs (ETSS) | S$302.50 |
| Mid-Career Enhanced Subsidy (MCES) | S$302.50 |
- All fees stated are inclusive of 7% GST.
- NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
| COURSE TITLE | ACADEMIC UNIT |
| MH6811 Machine Learning in Finance | 3 |
| MH8801 Introduction to FinTech | 1.5 |
| 1.5 | |
| MH8811 Python Programming | 1.5 |
Listed courses are:
- Credit-bearing and stackable to a Graduate Certificate in FinTech Essentials (total 9AUs).
- SSG funded and SkillsFuture Credit approved.
