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CompTIA Data+ Training

Course Information

  • Sessions 5 days
  • Duration 37.5 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

Course Brochure

Download Course Brochure

Certification

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

CompTIA Authorised Delivery Partner

We are an Authorised CompTIA Delivery Partner. To get the official CompTIA certification, please register your certification exam at a Pearson VUE test center.

CompTIA Data+ Training

Course Code: C923

7 Review(s) | Add Your Review

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What's This Course About

The 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.

Bonus: Free Practice Exams

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 →

Course Fee

MYR1,800.00

Course Date

Course Time

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

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

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: 18-65 years old

Minimum Software/Hardware Requirement

Software:

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Data Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Database Administrator
  • Data Engineer
  • Reporting Analyst
  • Operations Analyst
  • Marketing Analyst
  • Financial Analyst
  • Data Visualization Specialist
  • Systems Analyst
  • IT Project Manager
  • Data Governance Specialist
  • Compliance Analyst
  • Quality Assurance Analyst
  • Research Analyst
  • Big Data Analyst
  • Data Management Consultant
  • Risk Analyst
  • Data Warehousing Specialist

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (7)

Exceeded my expectations 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 course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 05/05/2025)
Excellent course 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 training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 23/05/2024)

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