Foundation of Statistics for Data Analytics

This course provides a solid foundation in statistics tailored for data analytics applications. Upon completion, learners will be equipped to apply statistical principles to various aspects of data analytics, including predictive data modeling techniques, identifying patterns in data sets, data mining, prototyping algorithms, and demonstrating proof of concepts. The course also covers data visualization methods to effectively communicate findings.

Upon completion, learner is able to apply statistics foundations into data analytics such as:

  • predictive data modelling techniques
  • data sets patterns
  • data mining
  • prototype algorithms and proof of concept demonstrations
  • data visualization methods

Training Commitment: Full Time and Part Time

At the end of the programme, learners will be able to develop, apply and evaluate algorithms, predictive data modelling and data visualisation to identify underlying trends and patterns in data.

  • Learning Unit 1: Introduction to Foundation of Statistics for Data Analytics
  • Learning Unit 2: Data Scoping, Exploration and Sense Making
  • Learning Unit 3: Data Insight Extraction and Explanation
  • Learning Unit 4: Data Models and Prototyping Algorithms
  • Learning Unit 5: Data Storytelling

Suitable for:

  • Business Analysts, Operations Analysts, Quality Assurance Analysts, Operations Managers, Sales Managers, Transportation and Logistics Managers, Customer Service Managers, Intelligence Managers, Analytics and Insights Managers

Age Requirements:

  • 25 years to 70 years old

Academic Requirements:

  • Minimum Diploma holder

Literacy Requirements:

  • At least a B4 pass for English (EL1) at GCE ‘O’ Levels or equivalent
  • Workplace Literacy (Intermediate Level) Level 5
  • Able to interpret findings from data collected

Industry/Working Experiences:

  • Have a comprehensive understanding of the organisation’s vision, mission, values and business goals
  • Minimum 2 years working experience
  • Recommended to have at least intermediate computer operating knowledge

Full Fee: $1,800.00

*The fee shown here represents the full course fee (excl. GST).
Please check with the training provider if any funding/subsidy is available.

Nett Fee: $900.00

The fee shown here represents the indicative course fee payable after SkillsFuture funding. Please check with the training provider on your eligibility, payable course fee and applicable GST.

If you are employer-sponsored, please check with the training provider on the eligible funding schemes for enterprises.

Find out more about training grants from government agencies.

Self-sponsored Individual

Course fee funding for SSG-approved courses:


Course fee funding for SSG-approved courses:

Questions? Check the frequently asked questions below.

Please log in to MySkillsFuture Portal using your Singpass or your FIN. Once logged in, you can view your available SkillsFuture Credit balance under ‘SkillsFuture Credit’.

The original $500 SkillsFuture Credit that was provided in 2016 has no expiry date. Any unused SkillsFuture Credit provided as part of the one-off SkillsFuture Credit Top-up and Additional SkillsFuture Credit (Mid-Career Support) will expire on 31 December 2025.

At the point of course registration, you should inform your Training Partner that you intend to use your SkillsFuture Credit in part or in full for the qualifying course fee. You should then submit your claim on the MySkillsFuture Portal within 60 days before the course start date (date inclusive).

For Massive Open Online Courses (MOOCs) offered by overseas Training Partners you may pay the gross course fees up front to the Training Partner and submit the claim for reimbursement of SkillsFuture Credit to you within 60 days before and 90 days after the course start date.

Please note that you can only submit claims for amounts that are less than or equal to your account balance, or equal to the full course fee, whichever is lower.

Please contact the Training Provider to find out more information if no course dates are listed. You may submit an enquiry directly to the Training Provider by clicking the 'Submit Enquiry Or Interest' button on the course details page.
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