CompTIA Data+

RM3,400.00 RM3,604.00 (after 6% SST)

Duration: 5 days (9:00 am – 5:00 pm)




As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. CompTIA Data+ validates certified professionals have the skills required to facilitate data-driven business decisions, including: • Mining data

  • Manipulating data
  • Visualizing and reporting data
  • Applying basic statistical methods
  • Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle


  • Data Analyst
  • Reporting Analyst
  • Marketing Analyst
  • Clinical Analyst
  • Operations Analyst
  • Business Analyst
  • Business Intelligence Analyst

Data+ is an ideal certification for not only data-specific careers, but other career paths can benefit from analytics processes and data analytics knowledge. Jobs like marketing specialists, financial analysts, human resource analysts or clinical health care analysts can optimize performance and make well-informed decisions when they use and evaluate data correctly.


  • Data Concepts and Environments
    Boost your knowledge in identifying basic concepts of data schemas and dimensions while understanding the difference between common data structures and file formats.
  • Data Mining
    Grow your skills to explain data acquisition concepts, reasons for cleansing and profiling
    datasets, executing data manipulation, and understanding techniques for data manipulation.
  • Data Analysis
    Gain the ability to apply the appropriate descriptive statistical methods and summarize
    types of analysis and critical analysis techniques.
  • Data Governance, Quality & Controls
    Increase your ability to summarize important data governance concepts and apply data
    quality control concepts.


There are no prerequisites required to attend this course.



Training Modules

Module 1 : Identifying Basic Concepts of Data Schemas

Module 2 : Understanding Different Data Systems

Module 3 : Understanding Types and Characteristics of Data

Module 4 : Comparing and Contrasting Different Data Structures, Formats and Markup Languages

Module 5 : Explaining Data Integration and Collection Methods

Module 6 : Identifying Common Reasons for Cleansing and Profiling Data Module

Module 7 : Executing Different Data Manipulation Techniques

Module 8 : Explaining Common Techniques for Data Manipulation and Optimization

Module 9 : Applying Descriptive Statistical Methods

Module 10 : Describing Key Analysis Techniques

Module 11 : Understanding the Use of Different Statistical Methods

Module 12 : Using the Appropriate Type of Visualization

Module 13 : Expressing Business Requirements in a Report Format

Module 14 : Designing Components for Reports and Dashboards

Module 15 : Distinguishing Different Report Types

Module 16 : Summarizing the Importance of Data Governance

Module 17 : Applying Quality Control to Data

Module 18 : Explaining Master Data Management Concepts