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Understanding CompTIA DA0-001 Exam Topics
Mining data
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Visualizing and reporting data
Manipulating data
Applying basic statistical methods
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Objectives of CompTIA DA0-001 Exam
In this section, we will list the objectives you should know in order to pass your CompTIA Data+ certification exam.
The first objective is to understand how to become a successful IT professional with data skills.
The second objective is to learn about different types of data, including structured and unstructured data.
The third objective is to be able to demonstrate your knowledge of at least two types of data storage: online and offline.
The fourth objective is to be able to describe how a client can access information from various sources through technology such as social media or the web. CompTIA DA0-001 exam dumps he best way to prepare for the exams.
The fifth objective is for you to be able to apply concepts related to using software applications such as Microsoft Office suite, Google Docs, and Adobe Creative Cloud.
Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
CompTIA DA0-001日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Mining | 25% | - Given a scenario, execute techniques for data manipulation - Explain data acquisition concepts - Identify common reasons for cleansing and profiling datasets - Explain common techniques for data manipulation and optimization |
| Topic 2: Data Governance, Quality, and Controls | 14% | - Summarize important data governance concepts - Explain key aspects of data quality - Compare and contrast types of data controls |
| Topic 3: Visualization | 23% | - Given a scenario, use appropriate methods for dashboard development - Given a scenario, apply the appropriate type of visualization - Given a scenario, translate business requirements to support data-driven decisions - Compare and contrast types of reports - Explain important aspects of a report that tell a data story |
| Topic 4: Data Analysis | 23% | - Explain the purpose of inferential statistical methods - Given a scenario, apply the appropriate descriptive statistical methods - Summarize types of analysis and key analysis techniques |
| Topic 5: Data Concepts and Environments | 15% | - Compare and contrast common data structures and file formats - Identify basic concepts of data schemas and dimensions - Compare and contrast different data types |
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