Course Detail()

To reduce the environmental impact and contribute to sustainability efforts, ISCA will contribute our part by eliminating the printing of course materials for selected courses with effect from 2023.

Tips: To make your paperless learning experience more enjoyable, you may bring along a digital device such as a Windows based laptops or tablets to read your online materials during the class. QR code will be provided in the class for you to download the materials in PDF.

Join us and be a Difference Maker!

Programme Objective

At the end of the course, the learner will be able to

Understand the data analytics process and critical success factors for implementation
Apply analytics techniques such as market basket and clustering using Google Colab
Learn to perform data cleaning and convert images/scans to digital data using OpenRefine and Tabula (open-source tools) to enhance productivity
Learn techniques to visualize data to improve aesthetics using Tableau Public.

This course will cover some of the most practical analytics techniques for classification and regression so that thelearners can discern hidden patterns within your data and identify the winning edge.

For participants who faces ‘dirty’ data or lack of data at work, you will also be exposed to selected open-source tools to improve your productivity; and learn about other processes that you can consider to help your organisation embark on the digitalisation journey with the least cost.

Key takeaways: -

Appreciate the capability and limitation of data analytics and critical success factor for implementation
Implement analytics techniques such as market basket and clustering to identify correlation between data points
Use open-source tools (example, KNIME) for data cleaning and improve office productivity
Visualize data in an attractive manner for effective communication

*Links for software installation:

https://openrefine.org/download.html
https://tabula.technology/
Please ensure that you have a google account or sign up via https://accounts.google.com/signup

Programme Outline

Module 1: Introduction to five-step data analytics process and critical success factors for implementation

Module 2: Introduction to Google Colab as a quick means to access an IDE and computing power; and apply analytics techniques such as market basket and clustering

Module 3: Exposure to open-source tools such as OpenRefine and Tabula for data cleaning and convert images/scans to digital data to enhance office productivity

Module 4: Exposure to Tableau Public to quickly visualize data to improve aesthetics.

Training Methodology

A combination of lecture and hands-on exercises is expected for this live webinar class. The course has been specially designed to help participants learn analytics techniques and productivity tools that might be relevant to their work so they can apply it back at work.

Closing Date for Registration

1 Week before Programme or Until Full Enrolment.

Intended For

This course is specially designed for professionals who do not have programming background and will like to learn more about how data analytics and other digital tools can help you improve your workplace productivity

Schedule & Fees

Testimonial

Past Participant

Funding

1] NTUC Union Training Assistance Programme (UTAP)

NTUC members enjoy 50% *unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025.

*Unfunded course fee refers to the balance course fee payable after applicable government subsidies. This excludes material fees, registration fees, misc. fees etc.

This course is approved for UTAP support for intakes conducted between 08 February 2024 – 31 March 2025.

As UTAP is given on calendar year basis, and calculated based on year of training taken, it cannot be accumulated.

Maintained paid-up NTUC membership before course, throughout course duration and at the point of claim and;
Course by training provider must be supported under UTAP and training must commence within the supported period and;
Unfunded course fee must not be fully sponsored by company or other types of funding
Unfunded course fee must be S$20.00 and above, and;
Member must achieve a minimum of 75% attendance for each application and sat for all prescribed examination(s), if any and;
UTAP application must be made within 6 months after course ends.

For more information on UTAP Funding and to submit for UTAP claims, please visit https://www.ntuc.org.sg/uportal/programmes/union-training-assistance-programme. Terms and conditions apply.

Programme Facilitator(s)