Sections |
Week |
Start of E-Learning |
Seminar |
Remarks |
Python Foundations |
1 |
Monday, 8 Apr 2024 |
Friday, 12 Apr 2024 |
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2 |
Monday, 15 Apr 2024 |
Friday, 19 Apr 2024 |
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3 |
Monday, 22 Apr 2024 |
Friday, 26 Apr 2024 |
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4 |
Monday, 29 Apr 2024 |
Friday, 3 May 2024 |
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5 |
Capstone Assignment and Quiz (No online seminar) |
Due Date of Section 1 Weekly Tasks and Capstone Assignment: 26 May 2024, 11:59 PM |
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6 |
Break |
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Data Wrangling with Python |
1 |
Monday, 20 May 2024 |
Friday, 24 May 2024 |
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2 |
Monday, 27 May 2024 |
Friday, 31 May 2024 |
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3 |
Monday, 3 Jun 2024 |
Friday, 7 Jun 2024 |
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4 |
Monday, 10 Jun 2024 |
Friday, 14 Jun 2024 |
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5 |
Capstone Assignment and Quiz (No online seminar) |
Due Date of Section 2 Weekly Tasks and Capstone Assignment: 7 Jul 2024, 11:59 PM |
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6 |
Break |
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Applied Machine Learning |
1 |
Monday, 1 Jul 2024 |
Friday, 5 Jul 2024 |
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2 |
Monday, 8 Jul 2024 |
Friday, 12 Jul 2024 |
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3 |
Monday, 15 Jul 2024 |
Friday, 19 Jul 2024 |
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4 |
Monday, 22 Jul 2024 |
Friday, 26 Jul 2024 |
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5 |
Capstone Assignment and Quiz (No online seminar) |
Due Date of Section 3 Weekly Tasks and Capstone Assignment: 18 Aug 2024, 11:59 PM |
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6 |
Break |
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Data Visualisation & Storytelling |
1 |
Monday, 12 Aug 2024 |
Friday, 16 Aug 2024 |
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2 |
Monday, 19 August 2024 |
Friday, 23 Aug 2024 |
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3 |
Monday, 26 August 2024 |
Friday, 30 Aug 2024 |
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4 |
Monday, 2 Sep 2024 |
Friday, 6 Sep 2024 |
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5 |
Capstone Assignment and Quiz (No online seminar) |
Due Date of Section 4 Weekly Tasks and Capstone Assignment: 29 Sep 2024, 11:59 PM |
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End of Programme |
Coverage |
Week |
Format |
Lesson |
Core Topic(s) |
1 |
MS Teams online |
2-hour optional, synchronous online seminar during one of the following weekly slots:
· Friday, 9 am to 11 am (PowerBI) · Friday, 11 am to 1 pm (Tableau)
|
Core Topic(s) |
2 |
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Core Topic(s) |
3 |
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Core Topic(s) |
4 |
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Capstone Assignment and Quiz |
5 |
No seminar in Week 5. Participants will complete Capstone Assignment and Quiz, and submit within 2 weeks. |
Time taken |
Lesson Plan |
0.5 hours |
Quick Recaps of the Key Learning of the week (Concept, Techniques).
|
1 hour |
Walk-through of the Weekly Task solutions. |
0.5 hour |
Q&A and consultation |
A Certificate of Completion will be awarded to participants who fulfilled the following criteria:
a. Completed at least 75% of the e-learning materials as part of the attendance criteria.
b. For each Section, 75% of the Weekly Tasks (3 out of 4 Weekly Tasks) must be submitted with reasonable completeness.
c. Capstone Assignment must be submitted with reasonable completeness.
d. Achieve at least a pass (50%) for Final Quiz.
The Certificate of Completion will be jointly issued by Singapore Polytechnic and Govtech. The certificate will indicate that this course consists of 100 training hours.
a. Hardware
Each participant MUST have a personal or work laptop/desktop with full administrative rights and unrestricted access to the Internet. This is because participants are required to (a) install software and (b) upload files to SP’s PoliteMall. Without such a device, the participant will not be able to complete the required tasks required, and thus, he/she will be unable meet the requirements for course completion.
iPads and tablets can be used for viewing the e-learning contents but they are NOT able to replace the laptop/desktop for the mandatory hands-on tasks. Visualisation software can only be installed on Windows or MacOS. (Tableau Public can be accessed from both Windows and MacOS but Microsoft’s Power BI can be installed only on Windows.)
GSIB laptops are strongly NOT recommended as such laptops are not able to facilitate file uploads and installation of additional software by the users themselves.
b. Access to Udemy
The participants MUST ensure they have access to Udemy contents. Most, but not all public officers, have access to Udemy through CSC Learn App.
c. Software License
The training can be completed using open-source software (for Python, Data Wrangling, and Machine Learning sections) and free license (for data visualization section). No paid license is required.