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WSQ - CompTIA Certified Data+ Training

Sessions 5 days
Duration 40 hrs
Level Beginner
Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

TSC Title: Data Analytics
TSC Code: ATP-PIN-3001-1.1

By end of the course, learners should be able to:

LO1: Integrate multiple datasets to extract and process data efficiently.
LO2: Conduct data mining to uncover and analyze trends using analysis techniques.
LO3: Perform statistical data analysis to derive actionable insights.
LO4: Present analytical outputs visually to communicate data effectively for decision-making.
LO5: Recognize and interpret sequential patterns to establish linkages between variables.

Download Course Brochure

Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - CompTIA Certified Data+ Training

Course Code: TGS-2024049212

WSQ
SkillsFuture Credit
PSEA
SFEC
Absentee Payroll
MCES

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The WSQ CompTIA Data+ Training equips participants with essential skills in data management, including integrating datasets, conducting data mining, and performing statistical analysis to uncover trends and insights. Learn to apply various data manipulation techniques and optimize data usage for efficient processing. Participants will also understand how to interpret sequential patterns and establish meaningful linkages between variables, supporting effective business decision-making.

Additionally, the course covers techniques for presenting data visually and communicating analytical outputs effectively. Topics include designing reports and dashboards, applying quality control measures, and understanding the principles of data governance. This training is ideal for professionals seeking to enhance their data analytics capabilities and drive data-informed decisions.

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

Full Fee $2,000.00 Before GST

GST $180.00 9% of fee

Baseline Nett $1,180.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $780.00 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us.

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1: Data Concepts and Environments

Identifying Basic Concepts and Data Schemas

Understanding Different Data Systems

Understanding Types of Characteristics of Data

Comparing and Constructing Different Data Structures, Formats, and Markup Languages

Topic 2: Data Mining

Explaining Data Integration and Collection Methods

Identifying Common Reasons for Cleansing and Profiling Data

Executing Different Data Manipulation Techniques

Explaining Common Techniques for Data Manipulation and Optimization

Topic 3: Data Analysis

Applying Descriptive Statistical Methods

Describing Key Analysis Techniques

Understanding the Use of Different Statistical Methods

Topic 4: Visualization

Using the Appropriate Type of Visualization

Expressing Business Requirements in a Report Format

Designing Components for Reports and Dashboards

Distinguishing Different Report Types

Topic 5: Data Governance, Quality, and Controls

Summarizing the Importance of Data Governance

Applying Quality Control to Data

Explaining Master Data Management Concepts

Written Exam
Practical Exam

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Laptop: Learners are required to have a laptop for the training sessions. This is essential for hands-on practice and completing lab exercises.
Software: The course will involve the use of various Linux distributions and tools. Learners will need to install and configure Linux environments, manage software, storage, processes, and services. They will also work with scripting, containerization, and automation tools.
Virtual Labs: Virtual labs that simulate real-world environments will be provided to the learners. These labs allow learners to practice tasks such as configuring and managing Linux systems, troubleshooting issues, and performing security best practices

Exam Format:

The CompTIA Server+ exam (SK0-005) consists of up to 90 questions, including multiple-choice and performance-based questions, to be completed in 90 minutes. The passing score is 750 on a scale of 100-900

Appeal Process

The candidate has the right to disagree with the assessment decision made by the assessor.
When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
The candidate must lodge the appeal within 7 days, giving reasons for appeal
The assessor can help the candidate with writing and lodging the appeal.
he assessment manager will collect information from the candidate & assessor and give a final decision.
A record of the appeal and any subsequent actions and findings will be made.
An Assessment Appeal Panel will be formed to review and give a decision.
The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
Please click the link below to fill up the Candidates Appeal Form.

Job Roles

Data Scientist
Machine Learning Engineer
AI Researcher
Deep Learning Specialist
Computer Vision Engineer
AI Product Developer
Graphics Software Developer
Multimedia Artist (using AI)
Bioinformatics Researcher (for GAN-based simulations)
Financial Modeler (using AI for simulations)
R&D Specialist in AI
Robotics Engineer (with AI modeling)
Game Developer (using GANs for content generation)
Innovation Manager (in tech firms)
Computational Scientist

Trainers

Agus Salim is an experienced IT solutions and cybersecurity professional with a strong foundation in cloud infrastructure and project management. With over a decade of experience in systems integration, software development, and IT security across both enterprise and consulting environments, he brings a practical understanding of secure system design and deployment. His credentials include PMP, CompTIA Security+, CEH, and AWS Certified Cloud Practitioner, reflecting his balanced expertise in governance, risk management, and cloud operations. Agus has worked with leading organizations such as Citi and Check Point Software Technologies, providing hands-on technical and security support across multi-cloud platforms.

Mohan Pothula is an enterprise data and solutions architect with over 20 years of experience leading large-scale cloud migration and data modernization initiatives for major financial institutions, media organizations, and telecommunications companies. Having held leadership positions at DBS Bank, SPH, and Mediacorp, Mohan has designed and implemented secure, high-performance data ecosystems leveraging AWS, Azure, and Snowflake. His expertise extends to microservices architecture, data governance, and AI/ML enablement within regulated environments.
Mohan’s extensive background in developing and executing enterprise data strategies equips him to deliver valuable insights into the data lifecycle—from collection and transformation to visualization and compliance. As an instructor for CompTIA Data+ Training, he emphasizes practical approaches to data analysis, data quality assurance, and business intelligence integration, preparing learners to make informed, data-driven decisions aligned with organizational goals.

Truman Ng is a highly certified IT infrastructure and network specialist with extensive experience across cybersecurity, cloud computing, and enterprise networking. A PMP®, ACTA-certified trainer, and Huawei HCIE® expert, he has delivered numerous professional courses in cloud technologies, data management, DevOps, and network security. His certifications from Cisco, Huawei, HP, and Trend Micro reflect his deep cross-platform technical proficiency and commitment to excellence in IT education.
With over two decades in the industry, Truman integrates advanced networking and cloud data concepts into his teaching methodology, offering a holistic understanding of how infrastructure supports secure and reliable data environments. In CompTIA Data+ Training, he focuses on bridging data management and infrastructure design, enabling learners to understand how networks, storage systems, and analytics tools interconnect to support business intelligence and data governance.

Alec Tan is an IT trainer and systems engineer with over 20 years of experience spanning IT technical support, system integration, and IT training. He holds multiple CompTIA certifications, including A+, Network+, and Server+, and is also WSQ ACLP-certified, equipping him with both the technical expertise and the pedagogical skills to deliver effective training. His professional career includes roles as a Network Systems Engineer at McKinn International and freelance IT trainer at Nexus Academy, where he taught Office 365, Big Data, Artificial Intelligence, and CompTIA certification programs. With strong technical competencies in Microsoft Windows Server, desktop and laptop support, and IT infrastructure management, Alec brings a wealth of hands-on experience to Security+ training. His teaching emphasizes practical learning, covering key Security+ domains such as threat management, identity access, cryptography, and risk mitigation. By combining deep technical knowledge with a learner-focused approach, Alec ensures participants are well-prepared to achieve Security+ certification and apply cybersecurity principles in real-world IT environments.

Anil Bidari is a data analytics and IT management professional with extensive experience in systems integration, data-driven decision-making, and business intelligence. His career has spanned roles in technology consulting and education, where he has successfully delivered analytics and visualization solutions using modern data tools and frameworks. Anil’s expertise includes database design, SQL, and applied data analytics for business reporting.
With a strong focus on empowering professionals to interpret and act on data insights, Anil integrates his industry experience into his instructional approach. In CompTIA Data+ Training, he helps learners bridge the gap between technical data handling and strategic decision-making. His practical guidance in data collection, cleaning, analysis, and visualization ensures that participants build a strong foundation in applying analytical thinking to real-world business challenges.

Review

Customer Reviews (1)

Might Recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
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3. How do you find the training environment

The borrowed laptops which I had requested days before the courses did not come with the software and students had to download it themselves. I think this is quite unprofessional especially since we were not even able to download iclone because the laptops provided did not meet the system requirements. (Posted on 3/7/2019)