Course Content
Key Takeaways
At the end of the course, participants will learn:
- How statistics is being applied to solve a variety of business problems
- How to compute and interpret data summaries- numerically as well as visually
- How visual data exploration is used to find answers to business problems
- How to present data visually for better understanding of relationships between variables
- How to statistically analyze whether there is a relationship between two variables and determine the size of the relationship
- How to predict one variable in terms of another to make improvement in business performance
- How to perform classification and prediction using decision tree modeling approach
- How to cluster data into homogenous subsets to enable focused group-based customer management
This 3-day classroom instructor-led training course is an invaluable introduction to data analysis and forms a part of a suite of courses designed to give a thorough grounding in Data Science.
This course is part of the
Data Science Series and
Graduate Certificate in Analytics Project Management offered by NUS-ISS.
Who Should Attend
This course is designed for the non-technical business professional who aspires to gain practice skills and practical knowledge through hands-on experience in using business analytics to solve real life business problems:
- Anybody who is just starting to analyse data and need a kick start
- Anybody who wants to learn business analytics from the ground up
- Anybody who is exploring career opportunities in business analytics
- Anybody who is interested to learn how to make data-driven decisions
No coding is required in this course.
What to Bring
No printed copies of course materials are issued.
Participants must bring their internet-enabled computing device (laptops) with power charger to access and download course materials.
If you are bringing a laptop, please see below for the tech specs:
|
Minimum
|
Recommended
|
| Operating Systems |
• Windows 7, 8, 10
• 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 Disk
|
256 GB disk size |
|
|
Others
|
• 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
• MS Excel 2019 & above
• Orange Datamining
What Will Be Covered
Day 1: How can we use statistics to solve business problems?
1.1: Introduction to Statistics
1.2: How to describe data?
1.3: How to do data preparation before analysis?
Day 2: How can we predict what is likely to happen?
2.1: Making sense of data visually
2.2: How to determine if one variable is related to another?
2.3: How to predict one variable in terms of another?
Day 3: How can we group business products/customers?
3.1: How to group/segment your customers using DT (Supervised learning)?
3.2: How to group/segment customers using clustering (Unsupervised learning)?
Fees & Subsidies
SkillsFuture Singapore (SSG) Funding 2024
| |
Full Course Fees |
Singapore Citizens & PRs aged 21 years and above
(70% funding support) |
Singapore Citizens aged 40 years and above
(90% funding support) |
Enhanced Training Support for SMEs (ETSS)
(90% funding support)
|
| Full course fee |
S$2850 |
S$2850 |
S$2850 |
S$2850 |
| SSG Funding |
- |
S$1995 |
S$1995 |
S$1995 |
| Nett course fee |
S$2850 |
S$855 |
S$855 |
S$855 |
| 9% GST on nett course fee |
S$256.50 |
S$76.95 |
S$76.95 |
S$76.95 |
| Additional Funding if eligible under various schemes |
- |
- |
S$570 |
S$570 |
| Total nett course fee payable, including GST |
S$3106.50 |
S$931.95 |
S$361.95 |
S$361.95 |
Note:
1. SSG Funding is available to qualified individuals, subject to meeting the attendance requirement and passing of assessment.
2. 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.
3. SME fees are applicable only to participants who are sponsored by small and medium enterprises.
4. SSG Funding is valid up to 30 Sep 2024.
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
Register now to kick start you data analytics journey.
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.