RETDSF1: RETAIL (SF): DATA SCIENCE FUNDAMENTALS L1
RETAIL (SF): DATA SCIENCE FUNDAMENTALS L1
Course Duration
Mode of Assessment
Written Assessment, Practical Performance
Who Should Attend
Learners who are keen to perform segmentation, analysis, historical storage, and integration of quantitative and qualitative data captured from various sources to understand and improve online and offline user experience and conversion.
Course Overview
The Retail sector is a competitive and fast-paced environment. Retailers are now focusing on the use of technology and large sets of data are being generated exponentially as they help businesses identify market trends and opportunities to increase business performance. As such, this results in a growing demand for skills in data analytics.
Course Schedule
Next available schedule
Course Objectives
Upon completing this course, participants will be able to:
Collect and update data to facilitate the performance of data analytics measurements.
Provide assistance in performing routine analytics to understand customer activities and behaviors across digital platforms.
Perform tasks related to data analytics, metric, and data entry.
Assist in generating, collecting, and collating analytics reports.
Assist on gathering information to gauge the effectiveness of data driven analytics tools and technologies deployed.
Pre-requisites
The admission requirements are:
Read, write, and speak English at WPL Level 4
Manipulate numbers at WPN Level 4
Course Outline
LU1: Data Analytics Fundamentals
Collect and update data to facilitate the performance of data analytics measurements.
LU2: Data Analytics Process
Assist in generating, collecting, and collating analytics reports.
LU3: Data Analytics Tools & Technology
Provide assistance in performing routine analytics to understand customer activities and behaviours across digital platforms.
LU4: Data Analytics with Spreadsheet
Collect and update data to facilitate the performance of data analytics measurements.
Perform tasks related to data analytics, metric, and data entry.
LU5: Data Analytics Evaluation
Assist on gathering information to gauge the effectiveness of data driven analytics tools and technologies deployed.
Certificate Obtained and Conferred by
Upon meeting the attendance and assessment(s) criteria, participants will be awarded with a digital Statement of Attainment (SOA), accredited by SkillsFuture Singapore. SOA will be reflected as [RET-RAN-1002-1.1].
- Certificate of completion from NTUC LearningHub
Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from NTUC LearningHub.
Additional Details
Medium of Instruction: English
Trainer to trainee ratio: 1:20
Mode of Delivery: <Physical class>
Price
Course Fee and Government Subsidies |
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Individual Sponsored |
Company Sponsored |
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Non-SME |
SME |
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Before GST |
After GST |
Before GST |
After GST |
Before GST |
After GST |
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Full Course Fee |
$600.00 |
$654.00 |
$600.00 |
$654.00 |
$600.00 |
$654.00 |
For Singapore Citizens aged 39 years and below |
$180.00 |
$196.20 |
$180.00 |
$196.20 |
$60.00 |
$76.20 |
For Singapore Citizens aged 40 years and above |
$60.00 |
$76.20 |
$60.00 |
$76.20 |
$60.00 |
$76.20 |
Funding Eligibility Criteria
Individual Sponsored Trainee |
Company Sponsored Trainee |
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Remarks
Individual Sponsored Trainee |
Company Sponsored Trainee |
SkillsFuture Credit:
UTAP:
PSEA:
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Absentee Payroll (AP) Funding:
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Terms & Conditions apply. NTUC LearningHub reserves the right to make changes or improvements to any of the products described in this document without prior notice.
Prices are subject to other LHUB miscellaneous fees.
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