CET326 Machine Learning with Python

Course Provider

School of Chemical and Biomedical Engineering (SCBE)



Academic Unit



Machine learning is an important topic in data science to train machines based on big data in order to predict future outcomes/results. 

This course is part of:

Graduate Certificate in Professional Chemical and Biomedical Engineering Practices
FlexiMasters in Professional Chemical and Biomedical Engineering Practices

Upon completion of course, learner should be able to:

1. develop an understanding of data science and how machine learning plays an important part in it;

2. Perform basic python programming in Jupyter notebook for data science applications;

3. Understand a wide variety of machine learning algorithms and tools and;

4. Apply basic machine learning algorithms and tools to extract inferential information from data and report on the expected accuracy in prediction for applying the models.

1. Introduction to data science and its applications in real-world problems

2. Machine learning in data science

3. Basic Python Programming

4. Data science using Python in Jupyter notebook

5. Machine Learning Approach #1: Linear Regression

6. Machine Learning Approach #2: Classification

7. Machine Learning Approach #3: Clustering

8. Machine Learning Approach #4: Anomaly Detection

9. Application of algorithms from the above four approaches on real data using python in Jupyter notebook

Fresh Graduates, working professionals from industry, professionals seeking for mid-career change.

Standard Course Fee: S$1,605

Course fee payable after SSG funding, if eligible under various schemes
Cat-A SSG Funded Courses S$481.50
Enhanced Training Support for SMEs (ETSS)  S$181.50
Mid-Career Enhanced Subsidy (MCES) S$181.50
  • All fees stated are inclusive of 7% GST.
  • NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click  here for more information. 
    Read more about funding
    CET319 Bridging the industry skills1
    CET320 Decision Making through Data Analytics1
    CET321 Industrial Safety skills and applications1
    CET322 Innovations through Design Thinking1
    CET323 Develop your Success in Engineering Career1
    CET324 From Engineering to Project Management1
    CET325 Six Sigma for Engineers1
    CET327 Process Engineering in Chemical Process Industry (CPI)1
    CET328 Process Plant Troubleshooting & Engineering Problem Solving1
    CET329 Quality assurance and control in Chemical Process Industry1
    CET330 Root Cause Analysis for Incident Investigation1
    CET331 Practical Supply Chain and Logistics1
    CET332 Fundamental considerations in the health and biomedical sector1
    CET333 Instrumentation Chromatography and Mass Spectrometry1
    CET334 Instrumentation FTIR-TGA-Size1
    CET335 Point-of-Care In Vitro Diagnostics1
    CET336 Instrumentation Raman Spectroscopy, ICP-OES and XRD1

    Listed courses are:

    • Credit-bearing and stackable to Graduate Certificate in Professional Chemical and Biomedical Engineering Practices (total 9AUs) and FlexiMasters in Professional Chemical and Biomedical Engineering Practices (total 15AUs).
    • SkillsFuture Credit approved.