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The exam cost of the CompTIA DA0-001 Exam is 239 USD.
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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.
What is the salary of the CompTIA DA0-001 Exam
The Average salary of different countries for CompTIA DA0-001 professionals:
- United Kingdom: Pound 45489
- United States: USD 55,000 per year
- India: INR 4293726 per year
Reference: https://www.comptia.org/training/books/data-da0-001-study-guide
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CompTIA DA0-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization and Reporting | 23% | - Communicating insights and recommendations - Selecting appropriate visualizations and charts - Design principles and best practices - Building dashboards and reports |
| Topic 2: Data Mining | 25% | - Data profiling, cleansing, and validation - Querying and retrieving data - Data acquisition and integration methods - Data transformation, manipulation, and enrichment |
| Topic 3: Data Governance, Quality and Controls | 14% | - Data privacy, security, and compliance - Data governance frameworks and policies - Data quality standards and measurement - Data lifecycle management and controls |
| Topic 4: Data Analysis | 23% | - Interpreting results and identifying patterns/anomalies - Descriptive and inferential statistics - Analytical techniques: trend, performance, exploratory, comparative - Statistical methods: correlation, regression, hypothesis testing |
| Topic 5: Data Concepts and Environments | 15% | - Structured, semi-structured, and unstructured data - Data schemas, dimensions, and attributes - Data types, structures, and formats - Data storage systems: databases, data marts, warehouses, data lakes |
