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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.

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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.

  • External Certification - The 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.

CompTIA Data+ Training

Course Code: C923
  • HRDF

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What's This Course About

This comprehensive CompTIA Data+ Exam Prep course covers the full spectrum of data analytics, providing you with the knowledge and skills needed to excel in the exam and your career. The course is structured around key topics including data concepts and environments, where you’ll learn to identify basic concepts, understand data systems, and compare data structures. Delve into data mining with hands-on practice in data integration, cleansing, and manipulation techniques, crucial for optimizing and analyzing data effectively.

Further, you’ll explore advanced data analysis methods, applying descriptive statistics and key analysis techniques to derive meaningful insights. The course also emphasizes the importance of data visualization, equipping you with the skills to design reports and dashboards that communicate business requirements clearly. Finally, gain a strong foundation in data governance, quality control, and master data management, ensuring that you can manage data with integrity and compliance. This course is ideal for professionals aiming to validate their expertise and advance their careers in data analytics

We are Authorized CompTIA Delivery Partner

WSQ Funding

Full Fee 4,500.00 Before GST
GST 405.00 9% of fee
Baseline Nett 2,655.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 1,755.00 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - CompTIA Data+ Training

Course Fee

MYR4,500.00

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

Practice 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: 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.

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