Data Analytics with CompTIA Data+

Data is only valuable when it drives action. This course helps participants turn raw data into insights using practical analytics techniques. Participants will learn to identify business requirements, mine datasets, perform statistical analysis, and present findings effectively.

Learning Outcomes:

• Apply data mining, forecasting, and modelling techniques to reveal trends and patterns in a given dataset
• Apply data transformation techniques and principles to structure datasets into meaningful insights that drive business decisions
• Execute database queries to retrieve unique information from two tables or datasets
• Generate performance dashboards to reveal business insights from data studies

Key Topics:

• Data lifecycle and analytics frameworks
• Data quality, mining, and governance
• Analytical methods and tools
• Certification preparation for CompTIA Data+ (DA0-001)

Skills and Workforce Development Agency (SWDA) Funding Information

Funding is available on Course Fee. Please see below for the eligibility categories available.

SWDA Funding Requirements

• Trainees must scan their attendance twice daily using the SingPass application.
• Trainees must attain at least 75% attendance.
• Trainees must pass the in-house assessment to be eligible for funding.
• Trainee and/or sponsoring company is/are required to meet all SWDA-mandated eligibility criteria and requirements for funding. For more information, please refer to SkillsFuture homepage.

Appeal Policy and Procedure

• As a candidate in this course assessment, you may appeal your results if you disagree with them.
• To do so, submit your written appeal request via email to esv_comat_cse@stengg.com within 3 working days from date of assessment.

Cancellation, Postponement and Refund Policy

• Request for cancellation or postponement must be submitted in writing more than 4 weeks before the class start date to avoid any charges.
• Written notice for cancellation or postponement received 2 to 4 weeks before class start date will incur Late Cancellation Charge - 50% of course fee.
• Written notice for cancellation or postponement received less than 2 weeks before class start date will incur Late Cancellation Charge - 100% of course fee.
• If payment has been made and ST Engineering e-Services Pte Ltd accepts the trainee's written notification to cancel or withdraw from the course, ST Engineering e-Services Pte Ltd will issue a refund, less any applicable Late Cancellation Charges.

Feedback Policy and Procedure

• You may submit feedback via email to esv_comat_cse@stengg.com or your servicing Account Manager.
• Any formal feedback will be handled within 10 working days from receipt with a written reply given. An interim reply will be provided should more time be required.

Exam Details

This course is designed to build participants’ understanding of key concepts and domains covered in the CompTIA Data+ certification.

The CompTIA Data+ certification validates the skills required to support data-driven business decision-making, including data mining, data manipulation, visualisation, basic statistical techniques, and maintaining data quality across the data lifecycle.

The certification is suitable for early-career data analytics professionals and demonstrates the ability to support and communicate business intelligence through effective data handling and presentation.

To maximise success, participants are strongly encouraged to complement the course with additional self-study, revision of course materials, and dedicated practice before attempting the exam.