Opleiding: CompTIA Data+ Complete Bundle with Voucher Plus Retake Assurance [DATAPLUSCOMPBDLVPRA]

OVERVIEW

This course is intended for those wishing to qualify with CompTIA Data+. 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. CompTIA Data+ equips professionals to confidently turn raw data into reliable, actionable business outcomes. 

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. 

The CompTIA Data+ Complete Learning Bundle with Voucher Plus Retake Assurance provides the resources needed to Prepare for your CompTIA Data+ (V2) certification exam. This all-in-one solution provides the skills, confidence, and tools to master Data+ concepts, tackle real-world tech challenges, and excel on exam day.  

The following are included with this product: 

• CompTIA CertMaster Perform for CompTIA Data+ (DA0-002) 
• CompTIA CertMaster Practice for CompTIA Data+ (DA0-002) 
• Voucher Plus Retake Assurance 

*All included products must be redeemed within 12 months of purchase.  

Key benefits: 

• Exam attempt with retake assurance: Take your exam confidently, knowing you’re covered to retake it if needed. 
• Comprehensive preparation: Master Data+ objectives with tools to build knowledge and practical skills. 
• Hands-on learning: Complete tasks like preparing datasets, querying databases, and visualizing data in simulated and live labs. 
• Scenario-based exercises: Solve challenges to strengthen problem-solving and critical-thinking skills. 
• Adaptive learning: Focus on growth areas with personalized feedback and tailored study paths. 
• Exam readiness: Prepare with timed practice tests and performance-based questions for exam day. 
• Skill tracking: Monitor progress with assessments, quizzes, and actionable feedback to improve. 
• Year-long access: Study anytime with 12 months of training, redeemable within 12 months of purchase, through CompTIA Central. 
• Easy voucher redemption: Redeem and schedule your exam easily at CompTIA Central. 

OBJECTIVES

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.

CONTENT

1.0 Summarizing Database Concepts  

2.0 Comparing and Contrasting Different Data Systems  

3.0 Recognizing AI's Impact on Data Project  

4.0 Distinguishing Markup Languages and Data Analytics Tools  

5.0 Using Data Acquisition Methods  

6.0 Applying Quality Control to Data  

7.0 Profiling and Cleansing Data  

8.0 Executing Data Manipulation Techniques  

9.0 Building Queries to Model Data Example Learning Product Uses  

10.0 Preparing for Data Analysis  

11.0 Applying Descriptive Statistical Methods  

12.0 Illustrating Different Statistical Methods  

13.0 Summarizing Business Requirements in a Report Format  

14.0 Using the Appropriate Type of Visualization  

15.0 Designing Components for Reports and Dashboards  

16.0 Preparing for the Delivery and Consumption of Reports  

17.0 Summarizing the Importance of Data Governance  

18.0 Explaining Data Management Concepts  

19.0 Troubleshooting Issues and Measuring Performance