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CompTIA Data+

Course Duration
5 Days

Training Mode

Accredited By

Course Overview

CompTIA Data+ is a certification that verifies data management and analysis skills. The course covers topics such as data management, data visualisation, database architecture, and business intelligence. Students will learn to identify opportunities for data-driven decision-making and to create meaningful visualisations. Individuals who complete the course will be prepared to work as data analysts, data engineers, and database administrators. 

Corporate Benefits

Upskilling your employees in this certification offers several advantages, including: 

  • Improving the company’s data analysis capabilities, which will lead to more accurate and reliable insights and, ultimately, better decision-making 
  • Increasing employee productivity so that data analysis tasks can be completed more efficiently and effectively 
  • Improving the company’s competitive advantage by better leveraging data to identify opportunities, reduce costs, and improve customer experience 
  • Lowering the organization’s long-term reliance on external consultants and data analysts 

Course ratings

Wong Mei Ling
Data Analyst
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“The CompTIA Data+ course was beneficial in helping our organization develop a data-driven culture. The course covered all the essential topics, and the instructors were knowledgeable and supportive throughout the training."
Azizul Bakarudin,
IT Executive
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"The CompTIA Data+ course is a game-changer for anyone looking to develop their data analysis skills. The course provided hands-on experience that was invaluable, and the instructors were excellent."
Tan Sri Muthu Krishnan
Chief Technology Officer
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"The CompTIA Data+ course helped us unlock the full potential of our data. The course material was well-structured and easy to follow, and the instructors were passionate and knowledgeable."
Lim Ah Kow
Data Engineer
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"The CompTIA Data+ course exceeded our expectations. It covered a wide range of data analysis techniques, and the instructors were able to provide practical examples that were relevant to our industry. Highly recommended!"
Liza Mohd Yusof
Database Administrator
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"The CompTIA Data+ course is a must-have for anyone looking to advance their data analysis skills. The course material was thorough and well-organized, and the instructors were knowledgeable and supportive throughout the training."

Why Choose Us ?

  • Reputable training facility with over 20 years of experience.
  • Experienced and knowledgeable instructors
  • High-quality, relevant, and up-to-date training materials
  • Convenient training that fits your hectic schedule
  • Good value for money that is worth the investment

Course Objectives

  • Understand how to mine data 
  • Understand how to manipulate data 
  • Understand how to visualise and report data 
  • Use fundamental statistical techniques 
  • Analyze complex datasets while adhering to governance and quality standards throughout the data life cycle
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Who Should Get Certified

  • Data Analysts 
  • Business Intelligence Analysts 
  • Reporting Analysts 
  • Marketing Analysts 
  • Clinical Analysts 
  • Business Data Analysts 
  • Operations Analysts 
  • Any other career paths that can benefit from analytics processes and data analytics knowledge
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  • There are no prerequisites for this course; however, you must have the necessary level of experience to be successful in this training
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Course Curriculum

Module 1: Identifying Basic Concepts of Data Schemas 

  • Identify Relational and NonRelational Databases 
  • Understand the Way We Use Tables ,Primary Keys, and Normalization 


Module 2: Understanding Different Data Systems 

  • Describe Types of Data Processing and Storage Systems 
  • Explain How Data Changes 


Module 3: Understanding Types and Characteristics of Data 

  • Understand Types of Data 
  • Break Down the Field Data Types 


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

  • Differentiate between Structured Data and Unstructured Data 
  • Recognize Different File Formats 
  • Understand the Different Code Languages Used for Data 


Module 5: Explaining Data Integration and Collection Methods 

  • Understand the Processes of Extracting, Transforming, and Loading Data 
  • Explain API/Web Scraping and Other Collection Methods 
  • Collect and Use Public and Publicly Available Data 
  • Use and Collect Survey Data 


Module 6: Identifying Common Reasons for Cleansing and Profiling Data 

  • Learn to Profile Data 
  • Address Redundant, Duplicated, and Unnecessary Data 
  • Work with Missing Values 
  • Address Invalid Data 
  • Convert Data to Meet Specifications 


Module 7: Executing Different Data Manipulation Techniques 

  • Manipulate Field Data and Create Variables 
  • Transpose and Append Data 
  • Query Data 


Module 8: Explaining Common Techniques for Data Manipulation and Optimization 

  • Use Functions to Manipulate Data 
  • Use Common Techniques for Query Optimization 


Module 9: Applying Descriptive Statistical Methods 

  • Use Measures of Central Tendency 
  • Use Measures of Dispersion 
  • Use Frequency and Percentages 


Module 10: Describing Key Analysis Techniques 

  • Get Started with Analysis 
  • Recognize Types of Analysis 


Module 11: Understanding the Use of Different Statistical Methods 

  • Understand the Importance of Statistical Tests 
  • Break Down the Hypothesis Test 
  • Understand Tests and Methods to Determine Relationships Between Variables 


Module 12: Using the Appropriate Type of Visualization 

  • Use Basic Visuals 
  • Build Advanced Visuals 
  • Build Maps with Geographical Data 
  • Use Visuals to Tell a Story 


Module 13: Expressing Business Requirements in a Report Format 

  • Consider Audience Needs When Developing a Report 
  • Describe Data Source Considerations For Reporting 
  • Describe Considerations for Delivering Reports and Dashboards 
  • Develop Reports or Dashboards 
  • Understand Ways to Sort and Filter Data 


Module 14: Designing Components for Reports and Dashboards 

  • Design Elements for Reports and Dashboards 
  • Utilize Standard Elements 
  • Creating a Narrative and Other Written Elements 
  • Understand Deployment Considerations 


Module 15: Distinguishing Different Report Types 

  • Understand How Updates and Timing Affect Reporting 
  • Differentiate Between Types of Reports 


Module 16: Summarizing the Importance of Data Governance 

  • Define Data Governance 
  • Understand Access Requirements and Policies 
  • Understand Security Requirements 
  • Understand Entity Relationship Requirements 


Module 17: Applying Quality Control to Data 

  • Describe Characteristics, Rules, and Metrics of Data Quality 
  • Identify Reasons to Quality Check Data and Methods of Data Validation 


Module 18: Explaining Master Data Management Concepts 

  • Explain the Basics of Master Data Management 
  • Describe Master Data Management Processes
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Claim with HRD-Corp

We are an authorized training provider of HRD Corp (Human Resources Development Corporation). Our certification training programs are eligible for funding under SBL-Khas Scheme. 

HRD Corp provides training and upskilling opportunities for Malaysian employees who are: 

  • Malaysian citizens or permanent residents
  • Employed in a company that contributes to HRD Corp (employer with 10 or more Malaysian employees, or employers from specific sectors)
  • Registered with the HRD Corp portal and have an activated account
  • Have not attended the same training program within the last 12 months
  • Meet the specific requirements for the training program, such as qualifications, skills, or job-specific criteria

Invest in your employees’ professional growth and development by claiming your training with HRD-Corp today!