Course Information
This course aims to equip learners seeking to enhance their analytics skills and optimise business processes with minimal programming to help businesses automate their business processes and speed up their decision making.
Students will learn to use design thinking methods to find bottlenecks through business process analyses and to suggest ways to optimise them through intelligent automation techniques.
Only working knowledge of Microsoft Excel is needed. No prior programming knowledge is required.
This course shares the common Post-Diploma Cert (PDC) in Visualisation and Analytics with the Specialist Diploma in Business Digitalisation (Analytics) (SDBD(A)) Click <here> for more information.
Learning Outcomes
This course is designed for mid-level executives and frontend data users seeking to enhance process automation skills using low-code RPA applications and identify gaps in business processes. At the end of the course, these executives will be able to apply change management systems to influence business decisions through information gathering and analytics, identify gaps in business processes and propose process automation solutions for mundane tasks using popular tools like UiPath, MS Power Automate etc.
Course
Schedule
Course start date: TBC
Application Period: TBC
Expected commitment from learners:
Class Day(s): TBC
Time: 9am to 5.30pm
Delivery Mode: Classroom, Synchronous eLearning (via MS Teams or Zoom), Asynchronous eLearning (Self-studying)
Venue: Ngee Ann Polytechnic/Online
The course will adopt a hybrid learning model where participants are required to attend class in-person, and virtually from home.
Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
*Attendance is compulsory for both Face-to-Face and Online Synchronous lessons
Lesson Plan
The certificate provides students with the specialised knowledge and skills in the area of visual analytics, data management, data wrangling and munging as well as database concepts to aid management in optimised decisions making.
- Business Insights
This module aims to equip students with fundamental concepts of Data Visualisation for Business to develop interactive management dashboards for decision making. This involves applying best dashboard design principles, data story-telling techniques as well as insight gathering techniques. Students will learn how to organise data, perform data preparation, develop interactive dashboards, design data story-telling reports and automate repetitive tasks.
- Information Organisation
This module is designed to provide students with a comprehensive understanding of database concepts and management. Students will also gain technical proficiency such as SQL, Python and data warehouse basics, empowering them in data querying, preparation, processing and manipulation. Moreover, students will gain valuable insights into data project lifecycles, equipping them with the essential skills to execute and implement their own data projects.
The certificate provides students with the specialised knowledge and skills in the area of process automation using low-code RPA applications to streamline business processes and identify gaps in business processes and propose process automation solutions for mundane tasks.
- Process Automation
Students will learn the concepts to manage organisational change management systems to drive organisational success and outcomes by preparing, equipping and supporting adoption of change. They will also be equipped with the use of intelligent process automation tools to perform business and needs analysis to streamline business processes. Students will also learn to use design thinking methodologies to re-design business processes in a rapidly changing business environment increasingly dominated by AI.
- RPA Applications
Students will be equipped with practical skills in Robotic Process Automation (RPA) and its related technologies such as context-aware robots. The curriculum encompasses RPA concepts, end-to-end automation using RPA tools, and low-code development tools and techniques.
Certification
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:
- A local Polytechnic Diploma or recognized Degree (with English as the medium of instruction) in business, engineering or technology or
- A local Polytechnic Diploma or recognized Degree (with English as the medium of instruction) in any other disciplines with at least one (1) year of relevant work experience.
In addition, some working knowledge of Microsoft Excel would be helpful. 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.
*Module Exemption is given for ‘Business Insights’ to past Specialist Diploma in Business & Decision Analytics (SDBDA) graduates.
Course Fees
| Applicants / Eligibility | Fees |
|---|---|
| Full Course fee | $8371.20 |
| PR Sponsored by SME | $871.68 |
| Singapore Citizen Sponsored by SME | $871.68 |
| Singapore Citizen Aged 40 & Above | $871.68 |
| Singapore Citizen Aged Below 40 | $1255.68 |
| Singapore PR | $3348.48 |
| Long-Term Visit Pass Plus | $8371.20 |