Learn the fundamentals of TikTok data analytics, including key metrics, audience insights, and strategies to improve content performance, engagement, and marketing decisions.
Overview
This course introduces the fundamentals of TikTok data analytics, focusing on how data can be used to understand users behaviour, improve content performance, and support marketing decisions. Learners will explore key TikTok metrics such as views, engagement rate, reach, follower growth, and user demographics. The course explains how creators and brands analyse TikTok insights to optimise content strategy, identify trends, and improve campaign performance. Participants will also learn how to interpret analytics dashboards and transform data into actionable insights. Through practical examples and case studies, the program develops data-driven thinking, enabling learners to make informed decisions that enhance content visibility, users engagement, and brand impact on TikTok.
The Details
FOR SKILLSFUTURE CLAIMS
Registered Title: (Basic Data Analytics for Retail
)
TPGateway Code:TGS-2022016495
total hours
16:00
Curriculum
Course Duration
SSG Approved Training & Assessments Hours:16:00Trainer Facilitated Hours (On Campus/Virtual):15:00Self-Directed E-learning Hours:00:00Assignment Hours:00:00Assessment Hours:01:00
Objectives
Organise and prepare data to facilitate the performance of data analytics measurements.
Perform routine analytics to understand customer activities and behaviors across all digital platforms.
Update data as well as prepare reports and dashboards to communicate quantitative findings, trends, and consumer insights.
Participate in analytics activities like predictive modeling, contextual targeting, churn analysis, revenue growth, and growth optimization.
Gather information to gauge the effectiveness of data-driven analytics tools and technologies deployed.
Key Learning Areas
Organisation's Web Analytics Strategy.
Organisation's overall data analytics metrics and measurement strategy.
Organisation's Products and Services.
Types of business problems, questions, or hypotheses.
Data Analytics tools and technology.
Current and Emerging Data Analytics tools and technology trends.
Different forms of analytics are available such as customer segmentation, predictive modeling, contextual targeting, churn analysis, revenue growth, and cost optimization.
Criteria for evaluating the effectiveness of data analytics tools and technology.
Customer activities and behaviors across all digital platforms.
Certificate Issuance
Upon successful completion of the course, the student will be awarded the Statement of Attainment (SOA) for Data Analytics-2 WSQ Certification is nationally endorsed and recognized by industry partners.
To enrol, you must fulfil the following requirements
1
Aged 16 years and above
and
2
Aged 21 years and above for SCTP Programme
and
3
Possess at least 3 GCE ‘N’ Level credits with a minimum of C6 including English and Mathematics OR ES WSQ Workplace Literacy and Numeracy (WPLN) level 5 and above OR WSQ Advanced Certificate in Fashion Technology OR Tembusu's Advanced Certificate
and
4
ALL Students are required to have basic computing skills - i.e. able to turn on the laptop, use the mouse, drag and drop files, use online search engines for research; and be a competent user of Microsoft office.
Graduation
To graduate, you must fulfil the following requirements
1
75% attendance rate of total training hours per module
and
2
Be found competent for written, practical and oral assessments
International Students
To enrol, you must fulfil the following requirements
1
Aged 16 years and above
and
2
High School Diploma equivalent to GCE ‘N’ Level with 3 credits including English and Mathematics OR Qualifications from professional institutes may be considered on a case-by-case basic OR Pass Tembusu Entrance Test
and
3
English Language Requirement – Possess a minimum credit in English at GCE ‘N’ Level or its equivalent OR IELTS score 4.5 or TOEFL score 32
and
4
ALL Students are required to have basic computing skills - i.e. able to turn on the laptop, use the mouse, drag and drop files, use online search engines for research; and be a competent user of Microsoft office.
Graduation
To enrol, you must fulfil the following requirements
1
75% attendance rate of total training hours per module. Student Pass Holders – a minimum of 90% attendance per module will be required
and
2
Be found competent for written, practical and oral assessments
Do take note of the following things you are required to have for both class and their assessments. Please check if all of these stated below are in working condition before registering for class.
On Campus:
Stationery
Laptop/Tablet
Smart Phone capable of accessing their respective app stores
On-line:
Laptop
Webcam
Working mic on a laptop or actual mic
Smart Phone capable of accessing their respective app stores
We highly discourage you from missing any classes since the entire program is designed to be hands-on intensive. There is also a minimum attendance requirement of 75% of training hours for Singaporean and PRs, and 90% of training hours for international students. If you do not meet the 75% attendance requirement, you will not be eligible to enjoy subsidies nor to sit for the assessment. Make sure you block off your time during your training with us or find an intake option that will ensure you do not miss any classes. You will only wish that you had more time in the class!
Want to know more?
Our advisors are always happy to help you get started!
Thank you for your application. Unfortunately, you do not meet the course pre-requisite(s) at this time.
If you have any questions or would like to explore other options, please contact us at +6560118066 or email enquiry@tembusuinstitute.edu.sg. We’re happy to assist.
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