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Specialist Diploma in Data Analytics

Offered by School of InfoComm Technology

Post-Diploma / 1 year / TGS-2023040952

Apply Take Skills Challenge (17 Jan or 7 Feb)
Register Interest
Note: Please note that all applications for programmes will be done via the STEP. Click the 'apply' button on this page to proceed to STEP. You are required to use your Singpass to activate your STEP account. To receive an alert about the future runs for this course, please click the 'INDICATE INTEREST' button. Thank you. STEP, the Skills Training and Enhancement Portal, is a one-stop digital platform for your training needs.
Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Certification
Entry Requirements
Course Fees
Apply Take Skills Challenge (17 Jan or 7 Feb)
Register Interest
Contact us for more information

Course Information

Big data is growing at an incredible speed, and the capacity to make sense of it to make informed decisions has become a vital part of the way industries operate. Analytics is used everywhere from the health industry to aviation, which means having the skills to work with data has now become a valuable commodity.

#Specialist Diploma in Data Analytics graduates will receive an exemption of up to 12 subject credits on SUTD’s ModularMasters in Data Science programme. Details can be found on SUTD website: https://www.sutd.edu.sg/Education/Academy/Our-Offerings/ModularMasters/ModularMasters-in-Data-Science

For Apr Sem 2024 Intake

Module exemptions are now available for learners who clear the following challenge exams/module for the Apr 2024 Intake.  Selected module is:

  • Data Visualisation and Storytelling

Stay tuned for additional information on the upcoming skills quest challenge. Here’s some great news —applications for the skills challenge are now open alongside your programme enrollment application.

Mark your calendar for the on-campus challenge exam sessions: January 17, 2024, Wednesday at 10 am and February 7, 2024, Wednesday at 6:30 pm at NP. All learners will be given an info pack to prepare for this Skills Challenge. You can submit your course application and apply for the Skills Challenge at the same time. Apply for the Skills Challenge click HERE.

Have questions, email EnquiryPTD@np.edu.sg today! Get ready for the next step in your academic journey!

Have questions on the challenge exams? Email EnquiryPTD@np.edu.sg.

Learning Outcomes

Begin the learning journey into data analytics by picking up critical technical skills and essential domain knowledge.

Learn to derive actionable insights that help drive business value through hands-on data analysis approaches. Plus, acquire fundamental coding abilities to effectively perform data visualisation, data exploration, data wrangling and statistical analysis.

Build a strong technical foundation before progressing to advanced data analytics techniques.

Launch your learning journey to became a data analyst with this programme.

Course 
Schedule

Course Date: 11 Mar 2024
Application Period: 2 Jan – 15 Feb 2024
Class Day: Mon and Thu
Time: 6pm to 10.00pm
Delivery Mode: Classroom, Synchronous eLearning, Asynchronous eLearning
Venue: Ngee Ann Polytechnic/Online

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

Post-Diploma Certificate in Data Preparation & Modelling and Machine Learning (TGS-2023040956)
Machine Learning
This module introduces the fundamentals of Machine Learning (ML) and its applications. Learners will be provided the essential context and background knowledge of Machine Learning. Learners will gain exposure to both supervised and unsupervised learning models such as Linear & Logistic Regression, Decision Tree, K-means Clustering and more. Using leading software and associated libraries, learners will be able to implement and train Machine Learning models to address business challenges.
Data Preparation and Modelling
The Data Preparation and Modelling for Analytics module equips learners with essential skills and techniques to effectively prepare and model data for analytical purposes. Learners gain proficiency in data modelling, manipulation, cleaning, and transformation, ensuring data quality and integrity. Learners will be able to efficiently transform data, build accurate models, and derive valuable insights, preparing them for roles in data analytics and decision support.
Post-Diploma Certificate in Programming for Analytics and Data Visualisation TGS-2023040953
Data Visualisation and Story Telling
This module discusses the principles and techniques for creating effective visualisations based on graphic design and perceptual psychology. Using widely adopted tools, learners will apply these principles and techniques to create rich visualisations for analysis and presentation. Learners will learn visual analysis techniques to grasp pertinent information, as well as apply exploratory techniques to further derive key insights. Data storytelling and information graphics best practices will also be explored to allow learners to present data effectively and eloquently.
Programming for Analytics
The aim of this module is to equip participants with sufficient mastery of a programming language to perform operations and analysis. This module is suitable for learners with little or no programming background. The programming language taught is Python, which is fast becoming the world’s most popular coding language due to its simplicity and flexibility. Its popularity also stems largely due to its wide range of application in areas such as machine learning, network automation, and internet of things. The module highlights the syntactical and algorithmic aspect of programming to participants. Learners will be able to code using Python, from basic to complex algorithms progressively.

Certification

1 Specialist Diploma
2 Post-Diploma Certificates
4 Modules

Certification

You are required to complete 2 post-diploma certificates within 2-year validity period to be awarded the Specialist Diploma qualification.


Entry Requirements

Applicants with any of the following qualifications are invited to apply for the course:
  • You will need to have a local Polytechnic Diploma or recognized Degree (with English as the medium of instruction) in business, engineering, technology, or any other disciplines with at least one (1) year of relevant work experience.
  • You are required to have working knowledge of Microsoft Office e.g. Word, Excel and PowerPoint. Students enrolled into the course are expected to bring along their personal laptop. Only Windows notebook computer (Microsoft Windows 10 or newer) is recommended as you will be using Windows-based software that is not compatible with the Apple Mac Operating System platform.

Course Fees

Funding period for this course is from 1 Mar 2024 – 28 Feb 2027.

SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the Training Exchange course directory. The credits can be used on top of existing course fee subsidies/funding. This is only applicable for self-sponsored applicants and must be applied via the SkillsFuture Portal. More details on the SkillsFuture Credit Claims will be advised upon admission into the course.

Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% unfunded course fee support for up to $250 each year (or up to $500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.

Skills-Based Modular Courses (SBMCs) are bite-sized part-time courses for individuals to acquire new skills or deepen relevant skills, without the need to pursue a full diploma. Refer here for course fees for SBMCs.

GST Increment in 2024
Please note that the GST rate will be revised to 9% with effect from 1 Jan 2024, as such any payable course fees will be subjected to the new GST rate adjustments in 2024. Please refer to our STEP portal for the updated fees. (Click on STEP)

Note:

  • Please refer to our FAQs for more information.
  • The fees below are determined based on prevailing funding policies and subject to review and revision.
  • For full course fees throughout the semesters, refer here.

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

Applicants / Eligibility Fees
Full Course Fee$8027.85
PR Sponsored by SME$835.93
Singapore Citizen Sponsored by SME$835.93
Singapore Citizen Aged 40 & Above$835.93
Singapore Citizen Aged Below 40$1204.18
Singapore PR$3211.14
Long-Term Visit Pass Plus$8027.85