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CompTIA
CompTIA Data+
Modalities
Instructor-Led Training (ILT)
Virtual Instructor-Led Training (VILT)
No of Training Days
5
Training Fees
RM4,100 - RM5,011
Exam Code
DA0-001
Overview
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. The CompTIA Data+ exam will certify the successful candidate has 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.
Skill Covered
Upon successful completion of this course, you will be able to:
-Identify basic concepts of data schemas
-Understand different data systems
-Understand the types and characteristics of data
-Compare and contrast different data structures, formats, and markup languages
-Explain data integration and collection methods
-Identify common reasons for cleansing and profiling data
-Execute different data manipulation techniques
-Explain common techniques for data manipulation and optimization
-Apply descriptive statistical methods
-Describe key analysis techniques
-Understand the use of different statistical methods
-Use the appropriate type of visualization
-Express business requirements in a report format
-Design components for reports and dashboards
-Distinguish different report types
-Summarize the importance of data governance
-Apply quality control to data
-Explain master data management concepts
-Identify common data analytics tools
Who Should Attend
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.
Prerequisites
At least 18–24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience
Course Outline
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 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
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