Professional Certificate in Data Science


In this course, students will go through data science methodology such as hypothesis testing, sampling size, data cleansing and data visualization using R programming. They will go through descriptive statistics, basic probability, random variables, sampling and confidence intervals and hypothesis testing, as well as related ethical considerations and bias in data analysis.​ They will go through various ML concepts such as regression, classification techniques, decision trees, ensemble methods and support vector machines (SVM), as well as applying and evaluating classifiers  in Azure ML.


Completed Bachelor’s Degree or Master’s Degree with a minimum CGPA of 2.00 or its equivalent qualifications​

Completed Foundation or Diploma with a minimum CGPA of 2.50 or its equivalent qualifications, plus 2 years working experience

Training Mode


Training Duration

4 months – 16 weeks training + Entire duration of the course involves hands-on learning



Career Track

Data Scientist, Data Engineer, Data Analyst, Data Framework Engineer, Big Data Admin, Solution Architect

Skills Outcome

Acquire essential data science skills; including usage of R for data analysis

Acquire data analytics skills using statistical methods

Apply machine learning for data analytics skills