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How to join a select group of 510 trainees

Overview

With digital technologies redefining business processes, organisations are looking for candidates with the right competencies. Participate in the SGUnited Mid-Career Pathways Programme–Company Training (SGUP-CT) and build in-demand capabilities and relevant skills for the future.

The training for 510 aspirants will be delivered by SAP and Temasek Polytechnic (TP) over five months, with a combination of instructor led and self-paced e-learning sessions. Complete your learning journey with SAP led industry case studies for two months and become a hands-on SAP expert.

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Be digital-ready and globally competitive with this full-time course

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Earn an industry-recognised certificate

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Receive SGD 1,500* (*Conditions apply) training allowance from SkillsFuture Singapore

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12 months access to SAP Learning Hub


Course Objectives

Learn to implement SAP solutions in Data Science context, create and use reports with SAP Predictive Analytics and generate reports using Web Intelligence and share analysis with other users.

Gain industry-recognised certifications and unlock sought-after roles such as:

  • ICON1

    Data Scientist

  • ICON2

    Data Analyst

  • ICON3

    Developer

  • ICON4

    Business Analyst

  • ICON5

    Technology Consultant

Prerequisites

Basic understanding of Statistics, Mathematics and Data Mining methodology. A suggested openSAP course is ‘Getting started with Data Science’ (ds1). A degree or diploma in Data Science/Business Analytics or any Mathematics/IT-related discipline.

Minimum entry requirements:

  • Singapore Citizens and Singapore Permanent Residents*, aged 21 & above
  • At least a degree or diploma in Data Science/Business Analytics or any Mathematics/IT-related discipline.

Applicants who do not meet the entry requirements may still apply and shortlisted applicants may be required to go through an interview for further review. SAP and Temasek Polytechnic reserve the right to the final decisions.

*This is excluding those who:

  • Graduated in 2019 or are graduating in the calendar year 2020 from ITE, polytechnics, universities and other educational institutions – including private universities and overseas institutions.
  • Graduated from ITE, polytechnics, universities and other educational institutions and completed or completing their National Service in calendar year 2019/2020 and entering the labour force.

Benefits

SAP Learning Hub, Business Edition, Public Cloud Version

  • Unlimited access during your 12 months subscription to a catalogue containing enablement content

CER006 – SAP Global Certification, Online Exam (6 attempts)

  • A subscription to SAP Global Certification, online exams provides you 12 months access to Certification Hub, where you can schedule up to a maximum of 6 exam bookings over your subscription period.
  • Your subscription is valid for all available exams in the Certification Hub. You also can take each exam up to a maximum of three times.
  • SAP Global Certification, online exams are remotely proctored via a webcam on your PC or laptop and you can schedule your exam 24/7 via Certification Hub.

Fees and Timelines

  • Full course fee before subsidy: SGD 22,448.60 (inclusive of GST)
  • Subsidised course fee: SGD 583.33 (inclusive of GST) Use your SkillsFuture Credits!
  • Course duration: 7 months

For more information on this SAP course, email now.

Course Details

Choose a module below to know more about it:

Delivery Methods

Instructor Led and e-Learning via SAP Learning Hub

Duration

16 Hours: 8 Hours of Classroom Training and 8 Hours of e-Learning via SAP Learning Hub

Level

Introduction and Overview

Language

English

Course included in the following training paths

SAP Data Science

  • Data Science Overview:
    • Understanding Data Science
  • Exploratory Data Analysis:
    • Understanding Data Preparation
  • Data Analysis and Algorithms:
    • Understanding Outliers
    • Understanding Association Analysis
    • Understanding Cluster Analysis
    • Understanding Classification Analysis
    • Understanding Time Series Analysis
    • Understanding Feature Selection
    • Understanding Ensemble Methods
    • Understanding Model Deployment and Management
    • Understanding Simulation and Optimisation
  • Myths and Challenges:
    • Applying Data Science

This course will prepare you to perform and customise:

  • Understand the key elements of a data science project
  • Identify the appropriate data science technique and/or algorithm to use for the major data science tasks
  • Be aware of and be able to avoid the main data science challenges
  • Identify key use cases
  • Essential
    • None
  • Recommended
    • Basic understanding of Statistics and Mathematics
    • OpenSAP course - Getting started with Data Science (ds1)

Delivery Methods

Facilitated classroom training

Duration

14 Hours of Classroom Training

Delivery Methods

Facilitated classroom training

Duration

14 Hours of Classroom Training

If you are an entrepreneur, educator or PMET seeking revolutionary breakthroughs in creative thinking and innovation, you will benefit from this course. Going beyond conventional design thinking courses, this unique 3-step framework breaks down and demystifies the process of creative ideation that promotes originality, while encouraging out-of-the-box thinking.

The SEE Cycle will help you sift through the jargon and gain insight into the cyclical and highly iterative creative thinking process. You will be encouraged to adopt an open and expansive mindset that will embrace risk-taking and deep inquiry. You will also understand the importance of human-centricity as you develop multiple options to address issues and pain-points of your business or organisation.

What you will learn

  • Overview Of Design Thinking
  • Introduction To The SEE Cycle
  • Beginning With The Right Mind-set
  • Presenting The Design Challenge
  • The Power Of Empathy
  • Identifying the Issue
  • Deconstruction and Reconstruction
  • Presentation and Critique
  • Generating New Ideas
  • Discovering the Impossible
  • Validating Viable Options
  • Presentation and Critique
  • Summary and Conclusion

Delivery Methods

Facilitated classroom training

Duration

16 Hours of Classroom Training

In today’s data-intensive economies, vast amounts of personal data are collected, used and processed. Organisations in Singapore are required to comply with the Personal Data Protection Act (PDPA) when they collect, use and disclose personal data.

This course will equip participants with an overview and understanding of the key legal and regulatory requirements of the PDPAand help them support their organisation’s compliance with the PDPA.

This course is suitable for Data Protection Officers (DPOs), compliance managers, human resource, IT, admin, sales and business development executives/managers who need to be involved in data protection matters.

What you will learn

The course will train participants to identify key legislative and regulatory requirements under the PDPA including the 9 key obligations under the PDPA, the provisions relating to “Do Not Call”. The role of the Data Protection Officer will also be discussed, as well as learning how to manage data breaches through a case study. 

Delivery Methods

Facilitated classroom training

Duration

32 Hours of Classroom Training

This course focuses on how to apply data governance regulations. You will learn about data classification, data security risks analysis, and implementation of data security policies, standards and controls in an organisational setting.

What you will learn

  • What is data governance?
  • What are the underlying ethical issues related to data governance?
  • Role of policies and standards in the governing of data
  • Statutes related to data privacy, data protection and the underlying ethical issues
  • Developing and managing data policies and standards
  • Describing the data life cycle
  • Unstructured vs structured data
  • Data classification
  • Key management, data encryption
  • Data masking and tokenization

Delivery Methods

Facilitated classroom training

Duration

14 Hours of Classroom Training

Description Est Duration Hours per day Total
Introduction to Statistics for Data Science 6 days 4 24 hours
From Media Computation to Data Science 8 days 4 32 hours
Design Thinking 1 days 8 8 hours
SEN Author 6 days 3 18 hours
Description Est Duration Hours per day Total
Planning with SAP Analytics Cloud 5 days 4 20 hours
SAP Enable Now - Master Author 4 days 3 12 hours
SAP Enable Now - Consultants 6 days 3 18 hours
Conducting Conversations that Matter - The Fundamentals 4 days 2 8 hours
Guide your SAP S/4HANA to Success 1 days 5 5 hours
New Work and Purpose 5 days 4 20 hours
Be Visual! Sketching Basics for IT Business 4 days 3 12 hours
Intrapreneurship - Employee-driven Innovation 4 day 4 16 hours
Transforming your Home Office into Your Own Remote Studio! 1 days 0.5 0.5 hours
Marketing for Revenue Generation 6 days 4 24 hours

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