91pro视频

Please note that once the maximum class size is reached, the online registration will be closed. You may register your interest and be notified when there is a new run.

Class schedule:

PDC1 (1^st semester):

• Every Tue and Thu
• 6:30pm 鈥� 9:30pm (face-to-face class)
• 9:30pm 鈥� 10:30pm (e-learning*)
  

PDC2 (2^nd semester):

• Every Tue 7:30pm 鈥� 8:30pm (online class**)
• Every Thu 6:30pm 鈥� 9:30pm (face-to-face class)
• Every Sat 9:00am 鈥� 1:00pm (e-learning*)
  

*e-learning: the students are not required to attend classes during this period.

**online class: the students may attend from any location of their choice.

Modules in this course conduct in-class tests, typically in the last week of each 7-week or 8-week term in the 91pro视频 academic calendar. Attendance at these tests is compulsory.

Students are strongly advised against scheduling any travel plans during mid-semestral (MST) or end-semestral (EST) weeks. Detailed information regarding test schedules can be found on the website.

Course Duration: 
240 hours (1 year)

Enquiries
For enquiries, please email to ptenquiry@sp.edu.sg

In today鈥檚 data-driven economy, the ability to handle, prepare, analyse, and model data of diverse structures is essential across industries such as banking and finance, healthcare and insurance, telecommunication, manufacturing, design, and retail. This course equips graduates with core skills in statistical analysis and predictive analytics needed for roles that involve managing, analysing, and modelling data to derive actionable business insights.

Specialist Diploma in Data Science (Predictive Analytics) aims to provide a strong foundation in statistics and programming for data science, alongside specialized competencies in statistical modelling and predictive techniques. Graduates will be proficient in preparing data, performing statistical analyses, building and deploying predictive models, and quantifying risks associated with prediction.

This is a one-year part-time programme comprising two Post-Diploma Certificates (PDCs), delivered over two semesters (one PDC per semester). Classes are conducted in the evening.

• PDC1 focuses on foundations for data science, including statistics and Python programming.
• PDC2 offers greater flexibility for working professionals by requiring only one on-campus session per week, with the majority of learning delivered through asynchronous e-learning.

Participants will have the opportunity to apply their knowledge in a real-life project and participate in an exciting prediction challenge, allowing them to sharpen their practical skills in a hands-on setting.

Please click  for the Module Synopsis

PDC Exemptions for Specialist Diplomas in Data Science

Participants who have graduated from this course may be eligible for PDC1 exemption if they plan to register for another Specialist Diploma in Data Science:

• Specialist Diploma in Data Science (Data Analytics) 
  
• Specialist Diploma in Data Science (Vision and language Analytics)
• Specialist Diploma in Data Science (Artificial Intelligence)
• Specialist Diploma in Data Science (Data Engineering)

Please note exemptions are evaluated on a case-by-case basis. Interested participants may email ptenquiry@sp.edu.sg. Our team will get in touch to address your queries and guide you through a separate application process.