Key Takeaways
At the end of the course, the participants will be able to:
Understand an end to end view of data analytics process.
Structure a framework to align analytics objectives with business goals.
Apply procedures and techniques for data sampling, data cleaning & audit.
Apply procedures and techniques for data transformation, exploration, model testing and evaluation
Understand basics of data warehousing
Design a data pipeline process
Design strategies for implementation of analytics projects
Who Should Attend
This is an intermediate course and is applicable for professionals engaged in the following areas:
- Data Analysts
- Research Analysts
- Data Scientists
- Analytics Consultants
- Analytics Engineers
- Knowledge Engineers
- AI professionals
Prerequisites
This is an intensive, intermediate course. Participants with some exposure to working with data using tools like R will benefit more from the course.
Participants with limited knowledge may consider acquiring them via Statistics Bootcamp II course.
What to Bring
No printed copies of course materials are issued.
Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials.
If you are bringing a laptop, please see below for the tech specs:
|
|
Minimum
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Recommended
|
|
Operating Systems
|
• Windows 7, 8, 10 or
• Mac OS
|
Laptop running the latest
version of either Windows or
Mac OS
|
|
System Type
|
32-bit
|
64-bit
|
|
Memory
|
8 GB RAM
|
16+ GB RAM
|
|
Hard Drive
|
256 GB disk size
|
|
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Others
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• An internet connection – broadband wired or wireless
• Installation permissions (non-company laptops)
• Keyboard
• Mouse/Trackpad
• Display
• Power adapter (laptop battery might run out) |
DirectX 10 graphics card for graphics hardware acceleration
|
Additional Software Requirements:
• Python and Anaconda (Jupyter notebook)
What Will Be Covered
|
Module
|
Module Title
|
Description/Topics
|
|
1
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Analytics Processes
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This module introduces methods for identifying appropriate business goals for data analytics and determining suitable data analytics approaches and goals
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|
2
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Data Processing Fundamentals
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This module develops a working knowledge of different ways to collect & explore data.
|
|
3
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Data Processing Fundamentals Workshop
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Hands on workshop in the following topics
- Data Collection
- Data Audit & Data Quality checks
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4
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Data Transformation
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This module shows the various methods of how to clean the data and prepare them for subsequent analysis.
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|
5
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Decision Engineering
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This module examines how the results of data analytics can best be implemented to maximise business value for large enterprises
|
|
6
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Data Transformation Workshop
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Hands on workshop in the following topics
- Data Visualization led data transformation
- Data Transformation Techniques
- Feature Engineering
|
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7
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Data warehousing basics
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This module examines the key building blocks and com5ponents that make up a data warehouse to transform data into information and business insights.
|
|
8
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Data pipeline basics
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This module examines the key building blocks and processes to ensure a resilient and robust data pipeline to feed the data warehouse.
|
Fees & Subsidies
Fees for 2024
| |
Full Fee |
Singaporeans & PRs
(self-sponsored) |
| Full course fee |
S$2700 |
S$2700 |
| ISS Subsidy |
- |
(S$270) |
| Nett course fee |
S$2700 |
S$2430 |
| 9% GST on nett course fee |
S$243 |
S$218.70 |
| Total nett course fee payable, including GST |
S$2943 |
S$2648.70 |
Note:
- All fees and subsidies are valid from January 2024, unless otherwise advised.
- All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
- From 1st January 2024, the GST will be increased to 9%.
Certificate
Certificate of Completion
Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.
Join Us
Learn the best practices of Analytics projects.
Register now and gain an appreciation of the end to end process.
Preparing for Your Course
NUS-ISS Course Registration Terms and Conditions
Find out more.
NUS-ISS and Learner’s Commitment and Responsibilities
Find out more.
WIFI Access
WIFI access will be made available to participants.
Venue
NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615
Click HERE for directions to NUS-ISS
In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.
Course Confirmation
All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.
General Enquiry
Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.