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RDBMS with MS Access and MySQL

Part of the ModularMaster in Data Science (Non-Programming Track) programme

Data analysts and scientists work with data daily. Data resides in databases, and to be able to access data, data engineers and analysts need to communicate with databases in order to proceed with analysis. Relational databases provide a way for data analysts to perform critical data functions such as extract, transform, load (ETL).

This course is designed to introduce the general concepts of Data Science with a focus on Relational Database Management System. By the end of this course, participants will be able to house a huge structural dataset within a day-to-day RDBMS tool like MS Access or MySQL, whilst preparing or storing the dataset during or after the Data Analysis phase or Machine Learning Modelling process.

Plan your learning path

This course can be taken as a module on its own or as part of the Graduate Certificate in Data Analytics (Non-Programming) stack and participants will earn 12 subject credits which can also be used towards completing the ModularMaster in Data Science.

Course Details

Course Dates:
Coming soon

5 days
9.00AM – 5.00PM



Who Should Attend

  • Participants in roles which require understanding and deployment of database in the context for data science.
  • Aspiring data analysts/database administrators/engineers or data engineers looking to acquire skills in database to support big data environments.
  • Ideal for participants who are in or looking to acquire skills for roles such as entry-level Data Analysts/Data Engineers.


  • Some basic understanding or competency in Microsoft Access or other related database tools
  • Participants are encouraged to complete the Foundation of Data Science before enrolling for this course

Programme Outline

Learning Objectives and Structure
  1. Perform the deployment role for a junior data scientist and / or a data engineering role
  2. Understand the types of data and databases
  3. Appreciate the use of data dictionary and harness the potential metadata for data science
  4. Acquire organizational dataset from data lakes and other democratized data sources for data enrichment purposes
  5. Create a RDBMS to support Data Science pipeline
  6. Familiar with common RDBMS tools in particular MS Access and MySQL for ETL process
  7. Deconstruct complex relational tables with MS Access and MySQL
  8. Leverage on RDBMS to support big structural data preparation works for Data Science

Programme Structure: Participants will go through 4 days of training. Class will reconvene on the 5th day for a presentation as part of the course assessment.

Day 1
  • Overview of Data Science
  • Data Science with Database
  • Data Science pipeline
  • Computing Infrastructure
  • Database Management Systems
  • Types of Data and Databases
  • Types of Data Models
  • Data Dictionary and Meta Data
Day 2
  • Relational Database Management System with MySQL
  • Getting started with MySQL
  • Entity Relationship Diagram
  • Differentiating between Weak and Strong Entities
  • Distinguishing Non-identifying and Identifying relationship
Day 3
  • MS Access Basics
  • MS Access Objects
  • Creating Relations in MS Access
  • Forms in MS Access
  • Queries in MS Access
  • Exporting Data
Day 4
  • Extract, Transform, and Load
  • Relational Vs Non-relational DBMS
  • Data warehouse, DataMart, OLAP and the ETL process
  • ETL process with MySQL
  • ETL process with MS Access
Day 5
  • Project Presentation

Participants will be assessed via group based project presentation on the 5th session of the course. There will also be formative assessment and case studies to assess a participant's understanding and competency.

Subject Credits

Upon completion and satisfying the requirements of passing this course, learners will be awarded 12 subject credits.

Course Fees and Funding

SkillsFuture Course Fee Subsidy

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Mid-career Enhanced Subsidy (MCES)

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Enhanced Training Support for SMEs (ETSS)

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Full Course Fee (without subsidies): $4,815 (inclusive of prevailing GST)

ModularMaster Certificate in Data Science
Course Structure and Pathways

Two Tracks
We have designed two tracks to cater to participants with different learning preferences.

​Participants who prefer to make use of programming can go for the modules under the Programming Track while participants who prefer to make use of readily available tools can embark on modules under the Non-Programming Track.

For participants who do not possess a programming background, you may also take on a Bridging pathway towards the Programming Track.


Policies and Financing Options

SSG Funding Terms and Conditions

Use of Personal Details

In consideration of the subsidy provided by SkillsFuture Singapore Agency (“SSG”) through the SUTD Academy for the Course,

I consent to:

The collection, use and disclosure to relevant third parties of my personal data by the SUTD Academy including but not limited to personal particulars, attendance records, assessment/performance records, for the following purposes:

  1. Reporting of national statistics and conducting of holistic continuing education training research and analysis;

  2. Facilitate the conduct of the relevant surveys and audits in relation to the Course;

  3. General administration of the Course including but not limited to processing of the subsidy provided by SSG;

  4. Publicity and marketing of the Course or other Courses to be provided by SSG or SUTD Academy; and

  5. SSG or its Appointed Auditors or Nominated Representatives to directly contact Course Participant to obtain information deemed necessary for the purposes of conducting effectiveness survey or audits in relation to the Course.

I agree to:

  1. Attend and complete all lectures, class exercises, workshops and assessments;

  2. Complete the Course feedback at the end of the Course;

  3. Complete the post Course survey sent about 3 to 6 months after class attendance; and

  4. Sign up for a personal email account.

SUTD Privacy Statement

For more information on SUTD's privacy statement, please visit

SUTD Terms and Conditions

Methods of Payment

Learn more about the available payment modes.

Cancellation & Refund Policy

  1. If a written notification is sent to within 24 hours after course registration deadline there will be no cancellation charges. A full refund will be made. 

  2. No refund is provided if written notification is more than 24 hours after course registration deadline. SUTD Academy reserves the rights to collect the full fee amount from the participant.

Replacement Policy

Companies may replace participants who have signed up for the course by giving a 3-working day notice before the course commencement date to Terms and conditions apply.

Registration Policy

  1. Course may be cancelled due to insufficient participants. SUTD Academy will not be responsible or liable in any way for any claims, damages, losses, expenses, costs or liabilities whatsoever (including, without limitation, any direct or indirect damages for loss of profits, business interruption or loss of information) resulting or arising directly or indirectly from any course cancellation.

  2. Course enrolment is based on a first-come, first-served basis.

  3. SUTD Academy reserves the right to change or cancel any course or instructor due to unforeseen circumstances. 

Types of Funding

Funding under Mid-Career Enhanced Subsidy ("MCES")

  1. MCES is an enhanced Subsidy to encourage mid-career individuals to upskill and reskill, thereby helping them to remain competitive and resilient in the job market. With this, all Singaporeans aged 40 and above will receive higher subsidies of up to 90% course fee subsidy for SSG-funded certifiable courses.

  2. Individuals/employers are not required to submit an application for the MCES. Those pursuing SSG-funded programmes will be charged the appropriate subsidised fees by SUTD Academy if they are eligible MCES. Individuals/employers will only need to pay the nett fee (full course fee after SSG's grant).

    For more info, please visit  SkillsFuture website at

Funding under Enhanced Training Support for SMEs ("ETSS")

  1. ETSS is an enhanced funding to enable SMEs to send their employees for training.

  2. SMEs will enjoy subsidies of up to 90% of the course fees when they sponsor their employees for SSG-funded certifiable courses.

  3. In addition to higher course fee funding, SMEs can also claim absentee payroll funding of 80% of basic hourly salary at a higher cap of $7.50 per hour. SMEs may apply for the absentee payroll via the SkillsConnect system.

  4. To qualify, SMEs must meet all of the following criteria:
    - Organisation must be registered or incorporated in Singapore
    - At least 30% local shareholding by Singapore Citizens or Singapore Permanent Residents
    - Employment size of not more than 200 (at group level) or with annual sales turnover (at group level) of not more than $100 million
    - Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
    - Trainees must be Singapore Citizens or Singapore Permanent Residents

    For more info, please visit SSG website at

Funding under Union Training Assistance Programme ("UTAP")

UTAP is a training benefit for NTUC members to defray their cost of training. This benefit is to encourage more union members to go for skills upgrading.

NTUC members enjoy 50% unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP (Union Training Assistance Programme).

For more info, please visit