Foundation of Data Science

(Credit-bearing Programme)

Empower your decisions with Data

Foundation of Data Science is a practical course which will provide participants with the fundamental knowledge, skills and abilities to extract, transform, analyse and model data. This 4-day, credit-bearing, programme will provide an overview of data science and machine learning. Participants will learn through hands-on practices to prepare data for analysis, develop testing methods for statistical model, operationalise machine learning models and identify and communicate business insights to both technical and non-technical audience.

Earn Subject Units as you learn
After completing this programme, participants are also awarded 12 SC (Subject Credits) which can be used to complete relevant ModularMasters or degree programmes at SUTD. Successful participants will receive a Certificate of Completion and transcript from SUTD.

Course Details

Course Dates:

Begins 29 Jun 2018

Registration Closed
Dates: 29 Jun, 12 Jul, 20 Jul, and 31 Aug 2018

Past runs

9, 16, 23 January and 26 February 2018

Duration:
4 days, 9 am to 5 pm

 

Who Should Attend

First step for participants who aspire to build their foundational knowledge and skills towards the role of a data or business analyst; or for participants who wish to be a “citizen data/business analyst” in their work and be able to solve day-to-day problems through data analytics and draw useful insights from their data.

Programme Outline

Learning Objectives
  1. Understand what is Big Data Analytics, how it is used and where it can be applied.
  2. Prepare, analyse, identify business insights, and apply data science and big data analytics.
  3. Develop, evaluate testing methods for statistical model.
  4. Operationalise the models further and more types of analysis model.
  5. Demonstrate through a presentation on how they have designed and applied a data analysis project  from start to finish and the key results of the analysis and insights gained.
Day 1 - Exploring Data Science and Data Visualisation

Data Science Introduction

Data Science is one of the hottest topics across industries, understanding what data is and its applications is vital to businesses looking to understand, predict and evaluate business decisions.

Data Wrangling and Engineering

Data comes in all shapes and sizes, they can be unstructured or structured and come from all venues. Data Wrangling helps with "cleaning" or mapping of the raw data into more meaning formats that can then be translated into more valuable analytics.

Data Visualisation

Being able to communicate data to different stakeholders is critical, coupled with time-poor executives and shortened attention-span of the audience, data visualisation if done right can help the audience understand the data better and quicker. Data Visualisation also helps the audience to quickly generate insights and increase the impact of your data.

Day 2 - Business Statistics

Data Visualisation

Participants continue to learn tools to present data using D3 and R.

Business Statistics

Armed with Data Visualisation techniques, participants will learn Regression techniques and Time-Series and apply with hands-on practice using R.

Day 3 - Analytics in Action and AI Fundamentals

Text Analytics

Text Analytics combines machine learning with statistical and linguistic analysis to generate sentiment analysis that can be useful in understand what people are saying. Product reviews, opinions on forums and websites can find such feedback useful in improving products and services and strengthen its communications.

Predictive Analytics with Modelling

Participants are introduced to various data modelling concepts and apply some techniques using Excel.

Prescriptive Analytics

Prescriptive Analytics completes the data analytics cycle by equipping learners with actionable analytics techniques to make informed decisions.

Project Design

This helps students to crystallise what they have learnt into a data analysis project.

Day 4 - Project Presentation

Project Presentation

Participants will demonstrate through a presentation on how they have designed and applied a data analysis project from start to finish and the key results of the analysis and insights.

 

Course Fees and Funding

Course Fee

Full Course Fee: $3,852 (Inclusive of Prevailing GST)
Course fee inclusive of
(1) Course materials
(2) Lunch and 2 x Light Refreshments

Funding: SkillsFuture Series

Full Course Fee

$3,600

Less: Course fee grant (70%)

($2520)

Nett Course fee

$1080

GST (7%) on Nett Course fee

$75.60

Total Nett Course fee Payable inclusive GST

$1155.60

Further funding under Enhanced Training Support for SMEs ("ETSS")

Less: additional top-up funding to 90% if eligible under ETSS

($720)

Nett Course fee under ETSS

$360

GST (7%) on Nett Course fee

$75.60

Total Nett Course fee Payable (ETSS + GST on Nett Course fee)

$435.60

Further funding under SkillsFuture Mid-career Enhanced Subsidy ("MCES")

Less: additional top-up funding to 90% if eligible under MCES

($720)

Nett Course fee under MCES

$360

GST (7%) on Nett Course fee

$75.60

Total Nett Course fee Payable (MCES + GST on Nett Course fee)

$435.60

Further funding under Workfare Training Support ("WTS")

Less: additional top-up funding to 95% if eligible under WTS

($900)

Nett Course fee under WTS

$180

GST (7%) on Nett Course fee

$75.60

Total Nett Course fee Payable (WTS + GST on Nett Course fee)

$255.60

Instructor

Liang Zheng is the Assistant Professor at SUTD and a Fellow at SUTD Academy.

Prior to that, he worked as a postdoc researcher in the University of Technology Sydney and in the University of Texas at San Antonio. He obtained both his B.E. and Ph.D. degrees from Tsinghua University, in the School of Life Science and the Department of Electronic Engineering. He has published over 20 papers in highly selected venues such as TPAMI, IJCV, CVPR, ECCV, and ICCV.

Read more.

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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 PDPA and Privacy Term and Conditions

Personal Data Protection Act

SUTD collects, uses and discloses personal data in compliance with the Personal Data Protection Act.
 
Please contact the SUTD Personal Data Protection Officer at pdpa@sutd.edu.sg for the following matters:

  •  Questions relating to SUTD’s collection, use or disclosure of your personal data

  • Giving/withdrawing consent to the collection, use or disclosure by SUTD of your personal data

  • Request for access to your personal data

  • Request for correction of your personal data

  • Giving/withdrawing consent to receive marketing messages from SUTD

  • Any other queries or feedback regarding SUTD’s policies and practices with respect to the protection of personal data.
     

Privacy Statements

  • SUTD collects, uses and discloses personal data to support its teaching, learning, research, administration, personal development and other functions of the University, in compliance with the Personal Data Protection Act.

  • If you are only browsing this website or using the Search function, we do not capture data that allows us to identify you individually. This site automatically receives and records information on our server logs from your browser, including your IP address, cookie information, and the page(s) requested. Although user sessions are tracked, the users remain anonymous.

  • If you choose to send an application or an e-mail that contains personally identifiable data, for us to process the application or to render you a service, we may share relevant data within SUTD, or if necessary, with Government agencies or universities, so as to serve you efficiently and effectively, unless such sharing is prohibited by legislation. We may also need to disclose personal data as required by law or a court order. We will not share your personal data with private entities, except where such entities have been authorised to carry out specific SUTD services.

  • For your convenience, when you are carrying out a transaction using your personally identifiable data, we may also display to you data you had previously supplied to us or to Government or private entities that have been authorised to carry out specific SUTD services). This will speed up the transaction and save you the trouble of repeating previous submissions. Should the data be out-of-date, please supply us the latest data. We will retain your personal data only as necessary for legal or business purposes.

  • To safeguard your personal data, all electronic storage and transmission of personal data are secured with appropriate security technologies.

  • This site may contain links to other independently-managed websites within the SUTD network and to some sites outside the "sutd.edu.sg" domain whose data protection and privacy practices may be different from ours. We are not responsible for the content and privacy practices of these other websites and encourage you to examine the privacy notices of those sites.

  • Please keep in mind that whenever you voluntarily disclose personal data online – for example on message boards, through e-mails, or in chat areas – that information can be collected and used by others. By posting personal data online that is publicly accessible, you may receive unsolicited messages from other parties in return.

    Please contact the SUTD Personal Data Protection Officer at pdpa@sutd.edu.sg for the following matters:

  • Questions relating to SUTD’s collection, use or disclosure of your personal data

  • Giving/withdrawing consent to the collection, use or disclosure by SUTD of your personal data

  • Request for access to your personal data

  • Request for correction of your personal data

  • Giving/withdrawing consent to receive marketing messages from SUTD

SUTD Terms and Conditions

Methods of Payment

  1. Credit Card (Visa & MasterCard only) payment at SUTD campus One-Stop Centre

  2. Debit Card payment at SUTD campus One-Stop Centre

  3. Cheque make payable to “Singapore University of Technology and Design

  4. Invoice to Company (for Company Sponsored Participants)

  5. e-Invoice (for Ministries and Statutory Boards)

  6. Online Payment: DBS Internet Banking, DBS Mobile Banking & DBS Paylah!

Cancellation & Refund Policy

  1. If a written notification is sent to sutd_academy@sutd.edu.sg 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 sutd_academy@sutd.edu.sg. 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 http://www.skillsfuture.sg/enhancedsubsidy

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 http://www.ssg.gov.sg/programmes-and-initiatives/funding/enhanced-training-support-for-smes1.html

Funding under Workfare Training Support ("WTS")

To qualify, individuals must meet the following criteria:

  1. Be a Singapore Citizen; and

  2. Aged 35 years and above (13 years and above for Persons With Disabilities); and

  3. Earn a monthly income of not more than $2,000.

  4. Training allowance is only available for individuals who pay for their own training.

  5. Individuals can apply at any of WSG's Careers Connect or NTUC's e2i centres up to 30 days (including weekends and public holidays) before or after the start of the course.

    For more info, please visit WSG website at http://www.wsg.gov.sg/programmes-and-initiatives/workfare-training-support-individuals.html

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 https://e2i.com.sg/individuals/ntuc-education-and-training-fund/.