CompTIA Data+
CompTIA Data+ V2 (DA0-002)
Price:
Duration:
USD 1,600 excl. VAT
5 Days
Prerequisites
To ensure your success in this course, you should have 18–24 months of hands-on experience working in a business intelligence, report/data analyst job role.
You should have a working knowledge of Microsoft Excel or a spreadsheet program. You should understand how to build basic math calculations, like add, subtract, divide, and multiply (basic arithmetic).
You should know how to build basic functions like Sums, Average, and Count. You should understand the basics of sorting and filtering data sets in Excel or a similar spreadsheet program.
You should have a working knowledge of how to build very basic pivot tables. You should have some understanding of databases and all knowledge toward understanding how databases are designed will be helpful. You should have a basic understanding of how to build simple charts in using data.
What you’ll learn in this course
The CompTIA Data+ (DA0-002) certification validates essential data analyst skills, covering the full data life cycle from acquisition and preparation to analysis, visualization, and reporting. It emphasizes translating business needs into data insights,
applying key statistical methods, and maintaining data governance and quality, all with a focus on modern tools, AI concepts, and current data environments. Data+ equips professionals to confidently turn raw data into reliable, actionable business outcomes.
Course Objectives
After you successfully complete this course, expect to be able to:
• Build a foundation in modern data concepts so you can
• confidently navigate analytics tools and data sources in any organization.
• Transform, clean, and organize raw data to make it reliable and useful for analysis.
• Apply statistical methods to extract trends, uncover insights, and support business decisions.
• Use data visualizations and dashboards to translate complex results into presentations anyone can understand.
• Maintain data quality, ensure compliance, and protect
• sensitive information in alignment with industry standards.
• Solve data problems, validate reports, and resolve analytics issues as they arise on the job.
Course Outline
• Summarizing Database Concepts
• Comparing and Contrasting Different Data Systems
• Recognizing AI's Impact on Data Project
• Distinguishing Markup Languages and Data Analytics Tools
• Using Data Acquisition Methods
• Applying Quality Control to Data
• Profiling and Cleansing Data
• Executing Data Manipulation Techniques
• Building Queries to Model Data
• Preparing for Data Analysis
• Applying Descriptive Statistical Methods
• Illustrating Different Statistical Methods
• Summarizing Business Requirements in a Report Format
• Using the Appropriate Type of Visualization
• Designing Components for Reports and Dashboards
• Preparing for the Delivery and Consumption of Reports
• Summarizing the Importance of Data Governance
• Explaining Data Management Concepts
• Troubleshooting Issues and Measuring Performance
Further information
If you would like to know more about this course please contact us
