Course Information

  • 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.

Skills Framework

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

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.
Download Course Brochure

Certification

  • 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.

Free Certificate Practice Exams

Take Free Certificate Practice Exams at exams.tertiaryinfotech.com.

You can also purchase Certificate exam vouchers at exams.tertiaryinfotech.com.

WSQ - CompTIA Certified Data+ Training

Course Code: TGS-2024049212
  • WSQ
  • SkillsFuture Credit
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES

What's This Course About

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.

We are Authorized CompTIA Delivery Partner

WSQ Funding

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. 

Course FeeBefore Funding

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

Course Date

* Required Fields

Additional Note

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

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.

Cancellation & Reschedule Policy

  • 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

Course Details

What You'll Learn

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

Assessment

  • 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

  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

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

Review

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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