About Course
As organisations increasingly rely on data-driven insights to enhance decision-making and gain a competitive edge, the demand for skilled analysts to interpret and apply these insights remains high.
Despite the growing need for data expertise, there is a skills gap to find qualified data professionals such as data analysts and Business Intelligence (BI) specialists. As a result, there is a focus on equipping employees with data analytics skills for both career growth and organisational success.
This programme provides learners with key skills to extract actionable insights from large datasets, covering statistical analysis, data mining, and database management. It includes training in data visualisation techniques and emphasises critical thinking and problem-solving to identify patterns and trends.
Learners will gain hands-on experience with industry-standard tools like SQL, Python, Tableau, and Power BI for data cleaning, transformation, and analysis. Real-world case studies and projects will allow them to apply their knowledge to business challenges. It will also cover business intelligence concepts, showing how data-driven insights can enhance strategic decision-making and organisational performance.
Learners will put their skills into practice with a Capstone Project, which aims to cultivate data-literate professionals adept at driving business growth and innovation. The programme prepares them to tackle business problems, develop data-driven solutions, and effectively communicate their findings. This comprehensive training equips them for successful careers across industries such as finance, marketing, healthcare, and e-commerce.
Skills you’ll gain
Data Science and Analytics
Business Management
Career Growth and Transition
Who Should Attend
Market research professionals
Technical professionals
Engineers
Individuals with STEM-related work experience looking to pivot into a career in data analytics for roles such as: Data analyst, Market data researcher/analyst, Data specialist/engineer
Prerequisites
Individuals should possess a relevant background, which may include:
- A minimum of a STEM-related diploma; or
- Completion of a STEM-related BootCamp programme within the past three years; or
- Relevant work experience in the Infocomm sector or related job roles; or
- Prior or current work experience in a STEM-related field.
Learning Outcomes
Module 1: Data Fundamentals, Database Management (SQL), Data Wrangling and Cleaning (OpenRefine, Trifacta Wrangler)
- Differentiate important data concepts including between data, information, and knowledge, and identify the various types of data and data quality issues
- Explain the fundamentals of relational databases and the importance of database normalisation
- Use SQL syntax query to manipulate and manage data within databases effectively
- Utilise tools such as OpenRefine and Trifacta Wrangler for cleaning, transforming, and enriching data
Module 2: Python for Data Analysis
- Develop a comprehensive understanding of Python syntax including data types, control flow, and functions
- Produce well-structured, maintainable Python code
- Master numerical computations and array operations using the NumPy library
Module 3: Statistics and Data Visualisation with libraries like Matplotlib and Seaborn
- Grasp fundamental statistical concepts such as descriptive statistics, probability distributions, hypothesis testing, and regression analysis
- Apply appropriate statistical techniques to data analysis
- Create effective visualisations, tailored to specific audiences using Matplotlib and Seaborn
- Communicate data insights through effective storytelling
Module 4: Machine Learning
- Define machine learning and its various applications, including supervised, unsupervised, and reinforcement learning
- Build and evaluate predictive models using algorithms such as linear regression, decision trees, and neural networks, addressing business problems like customer churn and fraud detection
- Implement data preprocessing, feature engineering, and hyperparameter tuning to optimise model performance
- Leverage machine learning within data analytics and business intelligence workflows, while considering ethical implications and decision-making processes
Module 5: Business Intelligence Concepts and Tools
- Explain the fundamental components of Business Intelligence (BI) and define its role in organisations
- Apply popular BI tools, such as Power BI and Qlik, to extract, transform, and load (ETL) data, solving real-world business challenges
- Evaluate how BI techniques support data-driven decision-making and enhance organisational performance
- Assess the effectiveness of BI implementations and their contribution to overall business performance
Capstone Project on Data Analytics and Business Intelligence Programme
- Learners will synthesise and apply the data analytics and business intelligence skills acquired across five modules to produce a Capstone Project in Module 5
Teaching Team
Solomon Soh
Lead Trainer, Principal AI Scientist, ATTIX
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Hazwandi Hashim
Data Automation Manager, Samsung Electronics
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Bernard Yeo
Senior Analytics Engineer at Delivery Hero
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Course Details
Schedule
| Course Run | Dates | Topics and Delivery |
|---|---|---|
| To be advised | To be advised | Facilitated classroom training Classes are held once a week from 9:00 am – 1:00 pm over four+ months |
| Synchronous e-Learning Classes are held online once a week from 6:00 pm – 9:00 pm over four+ months | ||
| In-person assessment (MCQ test) Five tests over four+ months | ||
| Assignments and project works, self-learning | ||
| Asynchronous e-Learning with research and reading materials | ||
| Capstone project presentation |
* Detailed course dates to be shared when ready
Learning Hours
Total: 400 hours
Synchronous Learning: 158 hours
Asynchronous E-Learning: 242 hours
Certificate and Assessment
A Certificate of Attainment will be issued to participants who:
- Attend at least 75% of the course
- Undertake and pass non-credit bearing assessment during the course
Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.
Fee Structure
SkillsFuture Course Fees Funding
| Funding Category | Eligible Funding | Course Fees Payable After Funding |
|---|---|---|
| Singapore Citizen (Below 40) | 70% | S$4,905.00 |
| Singapore Citizen (Above 40) Funded under SkillsFuture Mid-Career Enhanced Subsidy (MCES) | 90% | S$1,905.00 |
| Singapore Citizen who meets the additional course fee funding support criteria* | 95% | S$1,155.00 |
| Singapore PR / LTVP+ Holder | 70% | S$4,905.00 |
| Non-Singapore Citizen | Not Eligible | S$16,350.00 |
Note:
- All fees above include GST. GST applies to individuals and Singapore-registered companies.
Additional Course Fee Funding Support Criteria
To be eligible for 95% additional course fee funding support, applicants must be a Singapore Citizen and meet one of the following criteria:
- Long-term unemployed individual (unemployed for six months or more); or
- Person with disabilities; or Individual in need of financial assistance – ComCare Short-to-Medium Term Assistance (SMTA) recipient or
- Workfare Income Supplement (WIS) recipient. Additionally, they should not have received any other funding from government sources in respect of the actual grant disbursed for the programme.
SkillsFuture Credit
Learners may also use their SkillsFuture Credit and Additional SkillsFuture Credit (Mid-Career Support) to further offset out-of-pocket course fees.
SkillsFuture Mid-Career Training Allowance (Full-Time)
Singapore Citizens, aged 40 and above, are eligible for Full-Time Training Allowance amount of 50% of your average income over the latest available 12-month period, capped at $3,000 per month. Use the calculator to tabulate your Training Allowance.
Frequently Asked Questions
SCTP at SITLEARN
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Who is eligible for SCTP?
The SCTP is open to all Singapore Citizens and Permanent Residents, particularly mid-career individuals looking to transition to new sectors or job roles. Both employed and unemployed individuals are eligible.
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What is the duration of a SCTP at SITLEARN?
The duration of a SCTP at SITLEARN typically ranges from four (4) to six (6) months, depending on the specific programme’s topic, curriculum and its requirements.
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Will the programme lead to job placements for me?
While our SCTP provides career preparation and employment facilitation support to help you in your job search, it does not guarantee job placements. You are encouraged to be proactive in seeking out and applying for job opportunities.
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Will I need to have certain minimum academic qualifications to sign up for the SCTP?
Minimum academic qualifications may be required for some SCTPs. You will be assessed by our SITLEARN admission committee on your suitability for the programme you apply for.
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Can I take up another course under the SCTP if I have not managed to find a job after completing a course?
Yes, you can apply for and enrol into another SCTP if you have a need or deem fit. However, your suitability for the new programme will be assessed by SITLEARN admission committee upon your application.
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Do I need to pay the full amount of course fees first then receive SkillsFuture Funding after?
No, you do not need to pay the full amount of course fees upfront. Different tier of SkillsFuture Funding is applied directly to the course fees for eligible learners. This reduce the amount you need to pay out-of-pocket or offset with your available SkillsFuture Credit.
The full breakdown and details of your course fees will be shared with you upon acceptance into the programme.
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Can I use my SkillsFuture Credit and additional SkillsFuture Credit (Mid-Career Support) to offset the out-of-pocket course fees payable?
Yes, you may use your SkillsFuture Credit and additional SkillsFuture Credit (Mid-Career Support) to offset the out-of-pocket course fees payable.
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Can I attend two (2) programmes concurrently?
Enrolment into two (2) SCTP programmes currently at SITLEARN is disallowed.
This is due to a high likelihood of schedule clashes, which could impact your ability to meet the attendance and assessment requirements of a programme.
A failure in meeting these requirements could result in you becoming ineligible for funding.
We strongly encourage learners to attend all lessons and complete assessments to fully benefit from the programme.
Learners with multiple career path interests are encouraged to allow at least six months between completing one SCTP and starting another, so as to dedicate focus time for job search post-programme.
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Can I re-attend the same SCTP programme that I have completed previously?
No, you cannot attend the same SCTP you have completed previously.
SkillsFuture Course Funding Support
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Who is eligible for the SkillsFuture Course Fees Funding Support?
Singapore Citizens, Permanent Residents and LTVP+ holders are eligible for SkillsFuture Course Fees Funding Support on SkillsFuture supported courses.
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If I fail the programme or drop out, what will happen to the funding I’ve received?
If you fail the programme or drop out without a valid reason, you may be required to refund the course fee subsidy you received. Learners are encouraged to complete all modules and pass the assessments to fully benefit from the programme and retain the funding support.
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What if I turn 40 years old in the middle of the programme?
If you turn 40 years old during the programme, you will become eligible for the Mid-Career Enhanced Subsidy from the month you turn 40 years old. This subsidy can cover up to 90% of course fees.
SkillsFuture Mid-Career Training Allowance (TA)
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Who is eligible for SkillsFuture Mid-Career Training Allowance?
Singapore Citizens aged 40 years old and above are eligible for SkillsFuture Mid-Career Training Allowance when they enrol into full-time or part-time TA eligible SCTPs.
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What kind of training allowance is offered for SCTPs at SITLEARN?
Eligible learners of SCTPs at SITLEARN benefit from full-time SkillsFuture Mid-Career Training Allowance.
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When do I apply for training allowance?
You can submit your training allowance application via SkillsFuture Portal up to three (3) months before the programme start date, after you have been accepted into the programme.
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Can I be employed and still be eligible for the SkillsFuture Mid-Career Training Allowance when enrolling into a full-time SCTP?
You can be employed and still apply for the training allowance for an eligible full-time programme. You are required to meet the programme requirements each month in order to receive the monthly payout.
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How do I know how many months of training allowance payout I will receive for the application?
The maximum eligible period in the application refers to the maximum number of months you can receive for the SkillsFuture Mid-Career Training Allowance. The actual number of months you will receive for a particular SCTP depends on the programme duration and fulfilment of the programme requirements on a monthly basis.
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How is my monthly TA computed?
For full-time TA, it is computed based on 50% of your average earned monthly income from the latest available 12 months of income data from Government records (E.g. CPF Board, IRAS) before the course start date. A minimum of $300 and maximum of $3,000 per month in training allowance will be disbursed by SkillsFuture over the programme duration.
For part-time TA, it is disbursed at a flat rate of $300 per month by SkillsFuture over the programme duration.
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What if my course has been deferred or cancelled?
Your TA application will be cancelled, and you will need to re-submit a TA application where your SCTP enrolment will be treated as a new SCTP enrolment.
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What are the programme requirements I need to fulfil in order to receive the monthly training allowances?
You will need to fulfil a minimum of 75% attendance of trainer led sessions for each of the training month of the programme.
Please also note that only one source of Training Allowance can be active at any given time.
Speak to Our Career Coach
Meet Joe Leong: Your Career Coach
Joe Leong is a dedicated and experienced career coach specialising in helping mid-career professionals navigate their career transitions and up-level their skills. With a strong background in career development and a passion for empowering individuals, Joe has successfully guided numerous professionals towards achieving their career goals.
About SITLEARN
SITLEARN is the lifelong learning division of the Singapore Institute of Technology, Singapore's first University of Applied Learning. SITLEARN is dedicated to providing high-quality, industry-relevant training and education to professionals and mid-career individuals. Through its innovative Applied Learning approach, SITLEARN equips learners with practical skills and knowledge that are directly applicable in the workplace, helping them stay competitive in the evolving job market.
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