Course Overview
CompTIA Data+ is a certification program tailored for early-career professionals who are responsible for advancing data-driven decision-making within their organizations. Here’s a breakdown of the key points highlighted in the description:
- Better Analyze and Interpret Data: The certification equips professionals with the skills to effectively mine and analyze data with rigor. By avoiding confounding results, individuals can derive meaningful insights that contribute to informed decision-making processes.
- Communicate Insights: Certified individuals are trained to highlight essential findings and insights in reports that are clear, persuasive, and free of confusion. Effective communication of data-driven insights is crucial for influencing decisions and driving positive outcomes within organizations.
- Demonstrate Competency: CompTIA Data+ certification demonstrates a professional’s competency in data analytics and literacy. By attaining this certification, individuals position themselves as valuable team members who possess the skills needed to contribute to data-driven initiatives. This enhances their employability and opens doors for career advancement opportunities.
Overall, CompTIA Data+ certification empowers professionals to leverage data effectively, communicate insights persuasively, and demonstrate their competence in data analytics. This not only benefits their individual career growth but also contributes to the success of their organizations by fostering a culture of data-driven decision-making.
What Skills Will You Learn?
CompTIA Data+ certification validates the skills required to facilitate data-driven business decisions. Here’s an overview of the skills you will learn through the certification:
- Data Concepts and Environments: Understand fundamental concepts of data schemas and dimensions. Differentiate between common data structures and file formats to effectively manage and manipulate data.
- Data Mining: Learn data acquisition concepts, including reasons for cleansing and profiling datasets. Acquire skills in executing data manipulation techniques and understanding various methods for extracting valuable insights from datasets.
- Data Analysis: Apply descriptive statistical methods to analyze data effectively. Summarize different types of analysis and critical analysis techniques to derive meaningful conclusions from datasets.
- Visualization: Translate business requirements into visually appealing and informative reports or dashboards. Learn design principles and components essential for creating effective data visualizations that communicate insights clearly and intuitively.
- Data Governance, Quality, & Controls: Understand the importance of data governance and its key concepts. Learn how to apply data quality control techniques to ensure the accuracy, consistency, and reliability of data used for decision-making processes.
By mastering these skills, individuals demonstrate their ability to navigate and analyze complex datasets, derive actionable insights, and effectively communicate findings to stakeholders. CompTIA Data+ certification serves as a testament to a professional’s competence in facilitating data-driven decision-making, making them valuable assets in today’s data-centric business environment.
What to expect in the exam
- Exam Description: The CompTIA Data+ exam assesses candidates’ knowledge and skills in transforming business requirements to support data-driven decisions. This includes data mining and manipulation, basic statistical methods application, and analysis of complex datasets while adhering to governance and quality standards across the data lifecycle.
- Number of Questions: The exam consists of a maximum of 90 questions.
- Type of Questions: Candidates will encounter multiple-choice questions and performance-based questions during the exam.
- Length of Test: The duration of the exam is 90 minutes.
- Passing Score: To pass the exam, candidates need to achieve a score of 675 on a scale ranging from 100 to 900.
- Recommended Experience: CompTIA recommends candidates to have 18–24 months of experience in a report/business analyst job role. Additionally, exposure to databases and analytical tools, a basic understanding of statistics, and experience with data visualization are beneficial for exam preparation.
- Languages: The exam is available in English, Japanese, and Thai languages, catering to candidates globally.
