Course Information

  • Sessions 3 days
  • Duration 22.5 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.

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.

Pearson Vue Certified IT Specialist Data Analytics

Course Code: C1819
  • HRDF

What's This Course About

The Pearson VUE Certified IT Specialist Data Analytics Prep course provides a comprehensive introduction to key data analytics concepts and techniques, preparing learners for certification and real-world data roles. Explore the basics of data types, structures, and categories, and learn how to import, clean, organize, and aggregate data for analysis. Develop an understanding of data analysis types, metrics, and exploratory methods, including how to interpret and explain insights effectively.

Gain hands-on skills in visualizing data through charts and graphs that highlight trends, relationships, comparisons, and distributions. Learn to communicate findings clearly and responsibly while understanding the role of AI in data analysis. The course also emphasizes ethical data practices, including privacy laws, bias detection, and responsible data handling. Ideal for aspiring data analysts, business intelligence professionals, and students pursuing the Pearson VUE Data Analytics certification.

WSQ Funding

Full Fee 3,150.00 Before GST
GST 283.50 9% of fee
Baseline Nett 1,858.50 SG/PR age 21+ · 50% funded
MCES / SME Nett 1,228.50 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course

Course Fee

MYR3,150.00

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 Basics

  • Define the concept of data
  • Describe basic data variable types
  • Describe basic structures used in data analytics
  • Describe data categories

Topic 2 Data Manipulation

  • Import, store, and export data
  • Clean data
  • Organize data
  • Aggregate data

Topic 3 Data Analysis

  • Describe and differentiate between types of data analysis
  • Describe and differentiate between data aggregation and interpretation metrics
  • Describe and differentiate between exploratory data analysis methods
  • Evaluate and explain the results of data analyses
  • Define and describe the role of artificial intelligence in data analysis

Topic 4 Data Visualization and Communication

  • Report data
  • Create and derive conclusions from visualizations that compare one or more categories of data
  • Create and derive conclusions from visualizations that show how individual parts make up the whole
  • Create and derive conclusions from visualizations that analyze trends
  • Create and derive conclusions from visualizations that determine the distribution of data
  • Create and derive conclusions from visualizations that analyze the relationship between sets of values

Topic 5 Responsible Analytics Practice

  • Describe data privacy laws and best practices
  • Describe best practices for responsible data handling
  • Given a scenario, describe the types of bias that affect the collection and interpretation of data

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:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Data Analyst
  • Junior Business Intelligence Analyst
  • Research Assistant (Data-Focused)
  • Reporting Analyst
  • Data Visualization Specialist
  • Data Entry and Quality Analyst
  • Market Research Analyst
  • Operations Analyst
  • Junior Data Scientist
  • Business Analyst
  • Statistical Assistant
  • Data Support Specialist
  • Analytics Intern
  • Digital Marketing Analyst
  • Financial Data Analyst
  • Customer Insights Analyst
  • Risk Data Analyst
  • Healthcare Data Assistant
  • Education Data Coordinator
  • AI Data Support 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

Write Your Own Review

You're reviewing: Pearson Vue Certified IT Specialist Data Analytics