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Course Overview

If you enjoy analysing and organising information, this programme equips you with the skills to transform raw data into actionable insights that power smarter business decisions—boosting your career resilience in today’s data-driven economy. Over an intensive three-month, full-time training, you will gain hands-on experience in building scalable data pipelines, cleaning and processing large datasets, and creating automation and dashboards using tools like SQL, Python, and cloud platforms. With job placement support after graduation, you’ll be ready to step into entry-level positions such as Junior Data Engineer, Data Analyst (Junior/Associate level), or Data Engineering Associate. These roles typically focus on developing and maintaining data workflows, supporting analysis, and enabling data-driven decision-making. As you progress, you can advance into senior data engineering or data architecture roles, expanding your expertise and impact in the tech industry.

IN COLLABORATION WITH
 

Generation Singapore

What You'll Learn

You’ll learn relevant behavioural, mindset and technical skills through a comprehensive instructor-facilitated training bootcamp that integrates real industry scenarios with hands-on projects and case studies. 

 

After completing the programme, you will be able to undertake the following responsibilities:

  • Drive value for the organization and its clients by having a thorough understanding of data, its purpose, and its usage
  • Design and build data platforms to collect, store, and retrieve raw data
  • Build data pipelines effectively using ELT
  • Apply structured problem-solving techniques to determine solutions
  • Learn new technical skills to improve performance and stay current in the industry
  • Effectively communicate and collaborate with internal and external stakeholders

 

Technical Skills

 

You’ll develop key technical skills through hands-on, interactive sessions. By the end of the programme, you’ll be proficient in:

  • Design and build scalable data pipelines
  • Utilize Python, SQL skills and related tools to perform ETL (Extract, Transform, Load), data cleaning and validation tasks
  • Undertake database design and data modelling
  • Collaborate with stakeholders to translate data requirements into technical solutions
  • Apply structural problem-solving techniques to determine solutions

 

Behavioural Skills

 

In every job, certain key skills are essential for success. We’ll help you develop the employability skills needed to thrive in your role:

  • Orientation to Detail
  • Communication
  • Teamwork
  • Time Management
  • Personal Responsibility
  • Future Orientation
  • Growth Mindset
  • Resilience

To apply / register your interest,

Course Fees

Please see below the course fee with 9% GST.

 

Fees Type Course Fee
(w GST) 
Full course fee S$16,350.00
Singapore Citizens aged 39 & below / Singapore Permanent Residents S$4,905.00
Singapore Citizens aged 40 & above S$1,905.00
Singapore Citizens aged 39 & below / 40 & above (Additional Funding Support)* S$1,155.00

*Additional course fee funding support of up to 95% of course fees for jobseekers with greater needs. Individuals must be Singapore Citizens and meet one of the following eligibility criteria:

  • Long-term unemployed individuals (unemployed for six months or more); or
  • Individuals in need of financial assistance – ComCare, Short-to-Medium Term Assistance (SMTA) recipients or Workfare Income Supplement (WIS) recipients; or
  • Persons with Disabilities - Click here for more information

Course Contact

  • Mainline 67881212
  • Monday - Thursday: 8:30am - 6:00pm
    Friday: 8:30am - 5:30pm
     
    Closed during lunchtime, 12:00pm - 1:00pm
    and on weekends and public holidays.

  • https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy (TSA)
    Temasek Polytechnic
    East Wing, Block 1A, Level 3, Unit 109
    21 Tampines Ave 1
    Singapore 529757

  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.

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