Catalog

The CompTIA Data+ course is designed for professionals who want to strengthen their data analytics skills and apply them effectively in business environments. The course covers essential topics such as data extraction, transformation, and visualization, enabling participants to turn raw data into valuable insights. It also addresses the importance of data governance, teaching how to ensure data integrity and compliance within organizations. Participants will learn practical techniques for data mining, reporting, and trend analysis, gaining the ability to use data to drive strategic decisions. Through a combination of theoretical knowledge and hands-on experience, this course prepares individuals to present data in ways that support business goals. Whether you\'re aiming to earn the CompTIA Data+ certification or enhance your data literacy, this course provides the skills and knowledge necessary to succeed in a data-driven world.

##### Domain 1: Data Concepts and Environments - Identify basic concepts of data schemes and dimensions - Compare and contrast different data types - Compare and contrast common data structures and file formats ##### Domain 2: Data Mining - Explain data acquisition concepts - Identify common reasons for cleansing and profiling datasets - Given a scenario, execute data manipulation techniques - Explain common techniques for data manipulation and query optimization ##### Domain 3: Data Analysis - Given a scenario, apply the appropriate descriptive statistical methods - Explain the purpose of inferential statistical methods - Summarize types of analysis and key analysis techniques - Identify common data analytics tools ##### Domain 4: Visualization - Given a scenario, translate business requirements to form a report - Given a scenario, use appropriate design components for reports and dashboards - Given a scenario, use appropriate methods for dashboard development - Given a scenario, apply the appropriate type of visualization - Compare and contrast types of reports ##### Domain 5: Data Governance, Quality, and Controls - Summarize important data governance concepts - Given a scenario, apply data quality control concepts - Explain master data management (MDM) concepts