DATA SCIENCE & RESEARCH

Statistics and Data Analysis for Engineers and Engineering Technicians

UTB042

Tri-CEd, Universiti Teknologi Brunei (UTB)

2 Days

Enrollment deadline: 1st November 2020

Course start: 16th & 17th December 2020

This shortcourse provides overview on statistics and probability, with emphasis in engineering applications. The content includes statistics for data collection, analysis, and interpretation, probability distributions, and use of statistics in designing experiments and analysing the results.

No formal entry requirement

Online Learning

None

Certificate of Participation

B$250 per person

Applications already closed, check regularly for updates​

Database Application Development

UTB017

Tri-CEd, Universiti Teknologi Brunei (UTB)

3 Days

Enrollment deadline: 1st February 2021

Course start: 2nd March 2021 – 4th March 2021

The aim is to introduce database and DBMS, how database can help to organise your data and DBMS to manage your data. This course includes designing and implementing database application

General – anyone who is interested

Blended Learning

None

Certificate of Certificate

B$500per person

Critical Infrastructure Cybersecurity

UTB013

Tri-CEd, Universiti Teknologi Brunei (UTB)

1 Day

Enrollment deadline: 1st October 2020

Course start: 14th November 2020

The course aims to provide participants with the necessary skills and knowledge on dealing with evolving cybersecurity and issues surrounding it. The main focus is to look into the country’s critical infrastructure, understanding how they work and how to protect them. 

People who work with the nation’s critical infrastructure

Blended Learning / Online Learning

Online Class Test

Certificate of Participation

BND$200 per person

Computer & Internet Access

Applications already closed, check regularly for updates​

Visual AI with Tensorflow.js

Centre of Excellence For Lifelong Learning, Politeknik Brunei (PB)

8 Hours

Enrollment deadline: 5th November 2020

Course start: 7th December  2020 – 30th December 2020

This course introduce Tensorflow.js and teach you to integrate your programming scripts with visual based Tensorflow.js models. You will be introduced to artificial intellengence (AI) and its usage in Tensorflow.js. You will also learn to develop an image classification AI and integrate your scripts with camera for body posture detection.

Online Learning

Certificate of Completion / Certificate of Achievement

  • BND$120 per person (Brunei citizens & permanent residents)
  • BND$180 per person (Non-citizens) 
  • BND$50 (Verified certification)

Computer / Laptop & Internet Access

NVIVO 12 Hands-On-Training (Qualitative Data Analysis)

UNISSA009

Leadership and Lifelong Learning Centre, Universiti Islam Sultan Sharif Ali (UNISSA)

2 Days

Enrollment deadline: 28th October 2020

Courses start: 4 November – 5 November 2020

Dr. Dayang Hajah Tiawa binti Awang Haji Hamid

Professor Dr. Abdul Hafidz Hj. Omar

Introduction: This course will provide an overview of the software, show how to set up a research project, and demonstrate some of the analytical capabilities of the software. This will be a hands-on course, where participants will have a chance to use the software, explore main features of NVIVO 12, run your analysis using our sample project data or work with your own data. The course is designed for the complete novice as well as those who have used previous versions of the software: from revision 1.1 to NVIVO 11.

Objectives:
At the end of this course, participants will learn how to:

  • efficiently and effectively manage their data
  • code and analyze your semi-structured, unstructured interview, video and audio data sources
  • structure your thematic node system supported by your chosen methodology
  • set-up the demographic information to aid profiling your data
  • use queries to seek answers to research questions as well as formulate new questions and explore new ideas
  • Use the NVIVO modeling facility to capture the big picture of your data

Expected Outcomes:
When you complete this course, you will effectively manage your non-numeric data analysis within the NVIVO 12 environment.

No minimal entry requirement

The teaching methods focus mainly on hands-on activities (can be offline / live lecture), which are supported by presentation, demonstration / live lecture, reflection, insightful exercises, discussions, question and answer sessions, opportunity for participants to share tips and insights and clinic session for advice on own data.

Certificate of Participation

BND$200 per person

Minimum technical and software requirements for NVIVO 12 virtual coaching:

  1. Please ensure you have a PC or Mac-based computer available to complete a hands-on task
  2. Software trial version (30 days) of NVivo 12 for Windows/NVivo 12 for Mac can be downloaded at QSR website at https://www.qsrinternational.com/nvivo
  3. You will need regular access to a computer with an internet connection. High-speed broadband access (LAN, Cable or DSL) is highly recommended for the optimal learning experience

Building AI Projects For Your Business / Organization

UTB005

Tri-CEd, Universiti Teknologi Brunei (UTB)

2 days

Registration Deadline: 1st October 2020

Course Start: 7th December 2020 – 8th December 2020

This short course introduces potentials of AI to automate aspects of works in businesses and organizations, and what AI can and cannot do, and how to approach adopting it. Why all the hype about Deep Learning, how can your organization or business benefit from it, and how to choose an AI project that has potential to succeed. Survey of major AI applications and how to structure and start an AI project. Pitfalls to avoid and impacts to consider. Technical tools for AI teams. Hands-on to implement your first AI application.

  • General for those who want to learn what AI can do for their line of work
  • Managers who want to explore ways that AI can help them improve what they do
  • People with technical background in programming / math / engineering, who want to learn how to implement an AI project

Distance Learning / Blended Learning

None

Certificate of Attendance

BND$400 per person

Participants have access to computer and internet

Applications already closed, check regularly for updates​

Business Intelligence Using Power BI (Data Analytics)

UTB001

Tri-CEd, Universiti Teknologi Brunei (UTB)

14 Hours (2 Days)

1 June 2020 – 2 June 2020

This course aims to:

  • Provide participants with good understanding of how Business Intelligence can be applied in organizations to obtain competitive advantage
  • Treat data as a business asset that requires careful investment to gain real value
  • Approach business problems data-analytically
  • Participants possess National Diploma in Business or Information Technology or similar qualification

2 CUs

Distance Learning

Coursework Based Assessment

Certificate of Participation

None (UTB & Facilitator’s CSR) – IT IS FREE!

Participants have access to computer with installed Microsoft Teams and internet

Applications already closed, check regularly for updates​

Data Analytics Fundamentals For Education

UTB015

Tri-CEd, Universiti Teknologi Brunei (UTB)

2 Days

Registration deadline: 1st October 2020

Course Start: 25th November 2020 – 26th November 2020

The short course aims to enhance participants’ understanding of data analytics and its potential impact on education. It introduces the fundamental concepts of data analytics, and familiarizes participants with various applications and use cases of data analytics in education sector.

Introductory course for general audience involved in education activities even at a wide spectrum of roles and responsibilities.

Distance Learning / Blended Learning (at UTB Campus)

  • 1 Assignment
  • 1 Test

Certificate of Completion

BND$250 per person

Participants have access to computer and internet

Applications already closed, check regularly for updates​

Data Analytics using RapidMiner - Beginner to Advanced

UTB016

Tri-CEd, Universiti Teknologi Brunei (UTB)

3 days

Registration Deadline: 7th September 2020

Course Start: 7th October 2020 – 10th October 2020

A training on the use of RapidMiner software for conducting data aggregation and transformation, visualization, modeling, evaluation, and deployment.

General data analytics practitioners or those interested to learn about RapidMiner Software, starting from beginner level to advanced (based on area of work/research)

Distance Learning / Blended Learning (at UTB Campus)

  • 1 Assignment
  • 1 Test

Certificate of Completion

BND$400 per person

Participants have access to computer and internet

Applications already closed, check regularly for updates​

Effective Data Mining to Solve Real-World Problems

UTB018

Tri-CEd, Universiti Teknologi Brunei (UTB)

2 Days

Registration Deadline: 15th August 2020

Course Start: 26th August 2020 – 29th August 2020

This short course introduces the main categories of data mining tasks, and their suitability to solve which types of problems, with emphasis on: types of data are needed for each kind of problem, preview of different software that help you get started (pros & cons of each), and reliable testing for the success of mining tasks. The course includes hands-on practicals using real-world datasets.

  • Open to general public who wants to learn basics of data mining
  • Those who have data but want to know how to make the best out of it
  • People with technical background in programming / math / engineering, who want to learn how to do Data Mining

Distance Learning / Blended Learning (at UTB Campus)

None

Certificate of Attendance

BND$200 per person

Participants have access to computer and internet

Applications already closed, check regularly for updates​

Medical Data Mining – What Works?

UTB030

Tri-CEd, Universiti Teknologi Brunei (UTB)

12 Hours

Enrollment deadline: 1st October 2020

Course Start: 30th November 2020 – 1st December 2020

What can data mining do to solve problems from the medical field? Effective data mining techniques specific to the medical field. Hands-on practicals with datasets from the medical domain. Validating mining results. Best-practices that can lead to adoption of mining results by medical institutions.

  • Doctors and practitioners
  • Graduates from the medical / pharmaceutical fields

Distance Learning / Blended Learning (at UTB Campus)

None

Certificate of Attendance

BND$300 per person

Participants have access to computer and internet

Applications already closed, check regularly for updates​

Fundamental of C Programming Language

UTB023

Tri-CEd, Universiti Teknologi Brunei (UTB)

3 Days

Enrollment deadline: 8th October 2020

Course start: 28th December 2020 – 30th December 2020

This course aims at providing the participants a good foundation on C programming. The course is suitable for anyone with minimal or no previous knowledge on programming. Participants will be introduced gradually with the grammar of C programming language thorough interesting examples. 

Open to anyone who wishes to explore basics of C programming.

Distance Learning / Blended Learning (at UTB Campus)

  • 1 Assignment
  • 1 Test

Certificate of Completion

BND$400 per person

Participants have access to computer and internet

Python Programming Fundamentals

UTB036

Tri-CEd, Universiti Teknologi Brunei (UTB)

1 Day

Registration deadline: 1st October 2020

Course start: 5th December 2020

This introductory course assumes that you are new to programming and gradually introduces you to the world of programming using interesting practical examples.

Any one who wishes to explore basics of Python are welcome.

Blended learning

  • 4 Lab Tests

Certificate of Completion

BND$100 per person

Participants have access to computer and internet

Applications already closed, check regularly for updates​

Statistical Analysis Using SPSS

UTB003

Tri-CEd, Universiti Teknologi Brunei (UTB)

14 Hours (2 Days)

8 June 2020 – 9 June 2020

  • Originally, SPSS is an acronym of “Statistical Package for the Social Science” but now it stands for “Statistical Product and Service Solutions “
  • It is basically used for statistical analysis, including data mining, text analysis, and data collection
  • The aim of this course is to introduce participants to the basic practice of statistics using SPSS
  • Specifically, the participants will learn data coding and entry, data screening, reliability and validity analysis, correlation analysis, and regression analysis, among others
  • This course is appropriate for researchers with limited knowledge of SPSS, as well as those who would like to expand their knowledge of its capabilities.

Participants possess National Diploma in Business or Information Technology or its equivalent

2 CUs

Online Learning

None

Certificate of Participation

None (i.e. UTB & Facilitator’s CSR) – IT’S FREE!

Participants should have access to SPSS software, computer and internet

Applications already closed, check regularly for updates​

Statistical Analysis Using PLS- SEM

UTB004

Tri-CEd, Universiti Teknologi Brunei (UTB)

14 Hours (2 Days)

15 June 2020 – 16 June 2020

  • Originally, SPSS is an acronym of “Statistical Package for the Social Science” but now it stands for “Statistical Product and Service Solutions “
  • It is basically used for statistical analysis, including data mining, text analysis, and data collection
  • The aim of this course is to introduce participants to the basic practice of statistics using SPSS
  • Specifically, the participants will learn data coding and entry, data screening, reliability and validity analysis, correlation analysis, and regression analysis, among others
  • This course is appropriate for researchers with limited knowledge of SPSS, as well as those who would like to expand their knowledge of its capabilities.

Participants possess National Diploma in Business or Information Technology or its equivalent

2 CUs

Online Learning

None

Certificate of Participation

None (i.e. UTB & Facilitator’s CSR) – IT’S FREE!

Participants should have access to SmartPLS 3 Software, computer and internet

Applications already closed, check regularly for updates​

Research Methods and Data Analysis for Effective Decision Making

SV-CTP-1

SEAMEO VOCTECH

40 Hours/day

Enrollment deadline:

19 October 2020 (1st cohort) 

2nd Cohort TBA

Course start:

16 November – 20 November 2020 (1st cohort)

Overview:

This training programme is specifically focused on enhancing knowldge on reserach methods and hands-on skills in data analysis using MS Excel and/or SPSS for quantitative research for effective decision making. Using primary data provided by participants and other sources, the participants will be guided to categorise the type of reserach methods suitable for data and objectives and analyse and interpret the data for decison making purposes.

Objectives:

The main objective of the course is to enhance the knowledge and skills of the participants in reserach methods and data analysis and interpretation, especially using MS Excel and/or SPSS for enhacing their decision making purposes.

Main topics:

(1) Introduction to Research and Statistics (This session will provide participants with an overview of research, research methods, and statistics. Included in this session are also survey research, population and sampling); (2) Quick tours of MS Excel and SPSS for data analysis (Participants will be guided for exploring MS Excel and SPSS menus to familiarise themselves with various features focusing on common data analyses for decision makaing) ; (3) Descriptive vs. Inferential statistics (demonstration of common data analyses both descriptive (frequencies, percentage, central tendencies and correlation) and inferential statistics (simple comparison using Anova and Regression); (4) Interpretation of findings from data analysis; (5) Linking the intepretation, discussion with conclussions and recommendations; (6) Linking the research with decision making processes; (7) Practical guide for reserach-based decision making processes.

Basic computer skills and basic statistics

Face-to-face or Blended (Online theory and classroom-based for hands-on )

Pre-test and Post-test and assignements

Certificate of achievement for those who pass the requirement

$500 per person

Computer with internet access

Conducting an Impact Evaluation of Education and Training Programme

SV-CTP-2

SEAMEO VOCTECH

40 Hours/5 Days

Enrollment deadline:

26 October 2020

Course start:

23 November – 27 November 2020

Overview:

An impact evaluation is a systematic analysis of lasting or significant change –positive or negative, intended or not – in people’s lives brought about by an action or a series of actions from an intervention. This is a continuous process to help the policymakers fully think through and understand the consequences of possible and actual interventions. This kind of study can be a tool to enable the policymakers or funding providers to weigh the positive and negative effects of such interventions. This course will prepare participants with knowledge and skills in conducting an impact assessment. This training is very useful for those assigned to determine whether an intervention or a project going to be implemented will have any expected impact or the project implemented has had any impact on the targeted recipients and meeting the expectation/objectives. In the end, this can also be used as feedback in the examination of various development processes.

Objectives:

After completing this course, the participants will have knowledge and skills on how to conduct an impact evaluation especially relevant to the participant’s context. Specifically, they will be able to explain what an impact evaluation is, including considerations of when to perform an impact assessment/evaluation, explain the process of conducting an impact study, apply selected techniques of ex ante and ex post evaluations using quantitative methods, apply selected techniques of ex post evaluations using qualitative and mixed methods, and write an example of impact study plan and report.

Main topics:

(1) Overview of Impact Study (In this session, participants will be introduced with the definitions and examples of impact studies. The discussion will also cover the advantages and disadvantages of conducting impact study, including when to adopt the study); (2) Processes of Conducting an Impact Study (There are various ways of conducting an impact studies. One of the common processes will be elaborated which covers the following stages: Development, Options, Consultation, Final Proposal, Implementation, and Review); (3) Key Elements of Evaluation Design (This session will cover an example of key elements of evaluation designs. These include: (1) Adopting relevant theory (if any), (2) Identifying key evaluation questions including the baseline survey, (3) selecting the evaluation design/approach both under ex ante and ex post evaluation, (4) triangulating the findings, and (5) contextualizing the evaluation; (5) Selecting techniques in conducting an impact study (This session will provide participants with knowledge and skills in selecting and using selected techniques under ex ante and ex post evaluations); (6) Output and Action Plan To provide a tangible output, this session will equip participants with knowledge and skills in writing an impact study plan and report based on selected case or project).

Basic computer skills

Face-to-face or Blended (Online theory and classroom-based for hands-on )

Pre-test and Post-test and assignements

Certificate of achievement for those who pass the requirement

$500 per person

Computer with internet access

Measuring Training Efficiency and Effectiveness Using Return on Training Investment (ROTI) Technique

SV-CTP-3

SEAMEO VOCTECH

32 Hours/4 Days

Enrollment deadline:

30 July 2020 (1st cohort) / 25 August 2020 (
2nd cohort)

Course start:

27 July – 30 July 2020 (1st cohort)

8 September – 11 September 2020 (2nd cohort)

Overview:

Return on Training Investment (ROTI) is used for justifying whether a training programme is worth pursuing and whther the training programme a “cost” or an “investment” for the organisation.
Funding donors have been using the results from ROI reports to prioritize projects and select proposals that will receive funding assistance.

Objective:

To enhance the knowledge and skills of the participants on the concept and the calculation Return on Investment in training programme, as well as the interpretation of the results. This course will enhance the participants’ skills in measuring and evaluating the extent to which any training programme conducted has achieved its objectives.

Main topics:

(1) What is ROTI and the benefits of measuring the results of training; (2) ROTI model and process; (3) Developing training objectives: the basis for measurement; (4) Data collection strategies conducted during and after the training; (5) Converting data to monetary values; (6) Identifying the costs and investment of training; (7) Identifying the intangible benefits; (8) Calculating the return on training investment (ROTI); (9) Writing the report on impact study by incorporating the ROTI results.

Basic computer skills

Face-to-face or Blended (Online theory and classroom-based for hands-on )

Pre-test and Post-test and assignements

Certificate of achievement for those who pass the requirement

$300 per person

Computer with internet access

Applications already closed, check regularly for updates​

Quantitative Data Analysis using MS Excel

SV-CTP-5

SEAMEO VOCTECH

24 Hours/3 Days

Enrollment deadline:

20 July 2020 (1st cohort) / 27 July 2020 (
2nd cohort)

Course start:

3 August – 5 August 2020 (1st cohort)

10 August – 12 August 2020 (2nd cohort)

Overview:

MS Excel is readily available in almost any computer and offers various data analyses that are useful for researchers. By installing Analysis Tool Pack through Add-Ins feature, we can use MS Excel not only for descriptive statistics such as Central Tendency, Variability, and Correlation but also for inferential statistics such as T-test, Anova, and Regression.

Objective:

This course will provide useful knowledge and skills for participants in analysing quantitative data both descriptive and inferential statistics using readily available MS Excel.

Main topics:

(1) Overview of descriptive and inferential statistics; (2) Exploring MS Excel for data analysis by activating Analysis feature; (3) Descriptive statistics using MS Excel; (4) Inferential Statistics using MS Excel; (5) Presentation of data analysis and interpretation.

Basic computer skills

Face-to-face or Blended (Online theory and classroom-based for hands-on )

Pre-test and Post-test and assignements

Certificate of achievement for those who pass the requirement

$300 per person

Computer with internet access

Quantitative Data Analysis using SPSS

SV-CTP-5

SEAMEO VOCTECH

24 Hours/3 Days

Enrollment deadline:

31 August 2020 (1st Cohort)

5 October 2020 (2nd Cohort)

Course start:

14 September – 17 September 2020 (1st cohort)

2 November – 5 November 2020 (2nd cohort)

Overview:

SPSS offers more more options compares to using MS Excel in terms of speed, types and advanced analysis, and appearance. For those who deal with frequent data analysis in their daily tasks, mastering the use of SPSS will be an advantage. This training programme offers participants with both theoretical and practical experience in data entry and analysis of both descriptive and inferential statistics. This training programme is specifically focused on enhancing hands-on skills in data analysis using SPSS for quantitative research. Using primary data provided by participants and other sources, the participants will be guided to analyse and interpret data. An overview about the types of data and select the types of analyses will also be addressed in the training.

Objectives:

The main objective of the course is to enhance the knowledge and skills of the participants in data analysis and interpretation, especially using SPSS.

Main topics:

(1) Quick Tours of SPSS Menus (Participants will be guided for exploring SPSS menus to familiarise themselves with various features offered by SPSS); (2) Descriptive vs. Inferential statistics (To provide an overview of data analysis, the participants will be introduced to two types of statistical analyses: descriptive and inferential statistics); (3) Scales of measurement (During this session each participant will be briefed on different levels of measurement scales, i.e. nominal, ordinal, interval, and ratio. This understanding is very important in data analysis); (4) Selection of data analysis techniques (Referring to various factors including the objectives of research and characteristics of the data, this session will elaborate the decision making process in selecting appropriate data analyses); (5) Inputting data in SPSS (This session will provide participants with hands-on activities in entering raw data in SPSS. The facilitator will also demonstrate how to use various commonly used features in SPSS, including retrieving data from MS Excel); (6) Data analyses (This session will focus on descriptive statistical analyses such as central tendencies (mean, median, mode), variability (standard deviation, variance), and correlation. In addition, this session will have demonstration on how to analyse data using inferential statistics, such as Chi-square, t-test, Anova, and Regression; (7) Interpretation of findings from data analysis (Based on the findings from data analyses, this session will elaborate interpret the findings for general audiences).

Basic computer skills

Face-to-face or Blended (Online theory and classroom-based for hands-on )

Pre-test and Post-test and assignements

Certificate of achievement for those who pass the requirement

$400 per person

Computer with internet access