WSQ , IBF, SkillsFuture, PEI Approved Training Provider

WSQ - CompTIA Certified Data+ Training

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.

Learning Outcomes

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.

Course Brochure

Download WSQ - CompTIA Certified Data+ Training Brochure

Skills Framework

This course follows the guideline of  Data Analytics ATP-PIN-3001-1.1 under Air Transport Skills Framework

Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

  • 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.

  • External CertificationThe participant will be able to attempt the CompTIA CompTIA Data+ certification exam after attending this course. Upon passing the exam, you will receive the CompTIA Data+ certification. The CompTIA Data+ certification validates the knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.

We are Authorized CompTIA Delivery Partner

Certification Exam at Pearson Vue

Once you are prepared for the exam, you can register for the certification here. We are Authorised Pearson Vue Testing Center. You can take the certification exam at our test center.

Exam Voucher

This course does not include Exam Voucher. You can purchase the exam voucher (one of the lowest prices in Singapore) CompTIA Certification Exam Vouchers for Network+, Linux+, Cloud+, Server+, Project+.

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee GST Nett Fee after Funding (Incl. GST)
Baseline MCES / SME
$2,000.00 $180.00 $1,180.00 $780.00

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.


You can pay the nett fee (after the WSQ training subsidy) by the following :

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. 

Course Code: TGS-2024049212

Fee

$2,000.00 (GST-exclusive)
$2,180.00 (GST-inclusive)

The course fee listed above is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

Course Date

* Required Fields

Post-Course Support

  • 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.

Course Cancellation/Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
  • 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

Final Assessment

  • Written Assessment (SAQ)
  • Practical Performance

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

  1. The candidate has the right to disagree with the assessment decision made by the assessor.
  2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
  3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
  4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
  5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
  6. 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.
  7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
  8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
  9. The assessor can help the candidate with writing and lodging the appeal.
  10. he assessment manager will collect information from the candidate & assessor and give a final decision.
  11. A record of the appeal and any subsequent actions and findings will be made.
  12. An Assessment Appeal Panel will be formed to review and give a decision.
  13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
  14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
  15. 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: Agus Salim is an accomplished IT professional with over a decade of experience in project management, cybersecurity, and cloud infrastructure. He currently serves as a TAC Engineer at Check Point Software Technologies, where he specializes in diagnosing and resolving complex network and security issues. His credentials include certifications in CompTIA Security+, CEH, ECIH, and multiple Microsoft Azure and AWS certifications, reflecting his deep understanding of enterprise-level systems and data security frameworks.

With hands-on expertise in both agile and waterfall methodologies, Agus has led and delivered IT solutions for clients across sectors such as banking, logistics, and education. His strong analytical and project management capabilities allow him to bridge the gap between business needs and technical execution. In CompTIA Data+ Training, he brings real-world experience in data handling, cybersecurity best practices, and cloud-based analytics, helping learners understand how to maintain data integrity, accuracy, and governance within modern digital infrastructures.

Mohan Pothula: 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: 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 Chee Wee: Alec Tan Chee Wee is an IT trainer and network systems engineer with over two decades of experience spanning technical support, system integration, and IT education. Beginning his career in IT operations and sales, Alec transitioned into training roles where he now teaches courses in Microsoft 365, Big Data, and CompTIA certifications. His academic background includes a Bachelor’s degree in Business Information Technology from the University of Central England and a WSQ Diploma in Digital Marketing.

Alec’s practical expertise in systems administration, server management, and hardware troubleshooting enables him to translate complex technical concepts into accessible lessons for learners. As part of the CompTIA Data+ Training faculty, he leverages his experience in Office 365, data analytics, and AI fundamentals to help participants understand the principles of data management, analysis, and visualization through real-world case studies and business scenarios.

Anil Bidari: 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.

Customer Reviews (1)

Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
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)

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