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The course emphasizes governance and quality standards across the full data lifecycle, while preparing learners for the CompTIA Data+ certification exam. Training includes group classes in Washington, DC and available onsite instruction. The syllabus covers data schemas, data systems, data types and quality, structures and markup languages, integration methods, cleansing and profiling, manipulation and optimization, descriptive statistics, regression and correlation, visualization selection, reporting and dashboards, report types, data governance, quality control, and master data management, plus tool and exam-mapping appendices.",{"@graph":69,"@context":114},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":20,"@type":76,"position":81},"https://docshare.wps.com/document/exam/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/comptia-data-certification-training-course-syllabus/325392/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/comptia-data-certification-training-course-syllabus/325392.png","ImageObject",300,407,{"name":92,"@type":93},"Ethan Miller","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108],{"name":109,"@type":110,"acceptedAnswer":111},"How does the course prepare learners for the CompTIA Data+ certification?","Question",{"text":112,"@type":113},"An appendix maps course content to the official CompTIA Data+ certification exam objectives (DA0-001), helping candidates understand the covered exam domains and key concepts.","Answer","https://schema.org",{"og:url":83,"og:type":116,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":118,"canonical":83},"index,follow",{"doc_id":120,"site_id":62},325392,1790503271,{"code":4,"msg":5,"data":123},{"doc_id":120,"user_id":124,"nickname":92,"user_avatar":125,"doc_module":4,"category_id":19,"category_name":20,"doc_title":65,"doc_description":67,"doc_content":126,"file_id":127,"file_url":128,"file_type":129,"file_size":130,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":81,"language":131,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":132,"faqs":133,"seo_title":134,"seo_description":67,"update_tm":135,"read_time":39,"preview_page_count":4},687207017582,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","CompTIA Data+ Certification Training  \nIn this course , you will cover the knowledge and skills required to transform business requirements in support of data-driven decisions by mining data , manipulating data , applying basic statistical methods , and analyzing complex data sets while adhering to governance and quality standards throughout the entire data lifecycle. In addition , it will help prepare candidates to take the CompTIA Data+ certification exam.  \nCOURSE SYLLABUS  \nGroup classes in Washington , DC and onsite training is available for this course.  \nFor more information, [email ](email  onsite@graduateschool.edu)[ onsite@graduateschool.edu](email  onsite@graduateschool.edu) or visit:  \n[https://www.graduateschool.edu/courses/comptia-data-certification-training](https://www.graduateschool.edu/courses/comptia-data-certification-training)  \n(888) 744-4723  \nCourse Outline  \nLesson 1 : Identifying Basic Concepts of Data Schemas  \n Understand the fundamental concepts of data schemas.  \n Learn how data schemas are structured and used in business environments.  \n Explore the role of schemas in data storage and organization.  \nLesson 2: Understanding Different Data Systems  \n Learn about various data systems and their purposes.  \n Compare and contrast relational and non-relational data systems.  \n Understand the advantages and challenges of each system type.  \nLesson 3: Understanding Types and Characteristics of Data  \n Explore different data types (e.g. , structured , semi-structured , unstructured) .  \n Understand the characteristics of data and how they impact analysis.  \n Examine data quality and its importance in decision-making.  \nLesson 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages  \n Learn about common data structures and formats used in analytics.  \n Understand how markup languages influence data representation.  \n Explore how these structures impact data integration and analysis.  \nLesson 5: Explaining Data Integration and Collection Methods  \n Learn the methods used for collecting and integrating data from various sources.  \n Understand best practices for ensuring accurate data collection.  \n Explore tools and techniques used in data integration.  \nCourse Syllabus | CompTIA Data+ Certification Training  \n1  \nLesson 6: Identifying Common Reasons for Cleansing and Profiling Data  \n Understand the importance of data cleansing and profiling.  \n Learn techniques for identifying data quality issues.  \n Examine strategies to improve data integrity.  \nLesson 7: Executing Different Data Manipulation Techniques  \n Explore data manipulation techniques such as filtering , sorting , and transforming data.  \n Learn how to apply these techniques to clean and optimize data.  \nLesson 8: Explaining Common Techniques for Data Manipulation and Optimization  \n Understand optimization strategies for handling large datasets.  \n Learn about the role of indexing and query optimization in data systems.  \nLesson 9: Applying Descriptive Statistical Methods  \n Learn how to apply descriptive statistics such as mean , median , and mode.  \n Understand the importance of these methods in data analysis.  \nLesson 10: Describing Key Analysis Techniques  \n Examine key analysis techniques such as regression and correlation.  \n Understand how these techniques help in drawing business conclusions.  \nLesson 11: Understanding the Use of Different Statistical Methods  \n Learn about various statistical methods used in data analysis.  \n Explore the application of these methods in solving real-world business problems.  \nLesson 12: Using the Appropriate Type of Visualization  \n Learn how to select and use the correct type of visualization for different data sets.  \n Understand the principles of data visualization design.  \nLesson 13: Expressing Business Requirements in a Report Format  \n Learn how to translate business requirements into structured data reports.  \n Understand how to present data in an easily understandab","cbCaiiftK1f6xKPc","https://ap.wps.com/l/cbCaiiftK1f6xKPc","pdf",129373,"English","# Course Outline\n## Lesson 1: Identifying Basic Concepts of Data Schemas\n## Lesson 2: Understanding Different Data Systems\n## Lesson 3: Understanding Types and Characteristics of Data\n## Lesson 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages\n## Lesson 5: Explaining Data Integration and Collection Methods\n## Lesson 6: Identifying Common Reasons for Cleansing and Profiling Data\n## Lesson 7: Executing Different Data Manipulation Techniques\n## Lesson 8: Explaining Common Techniques for Data Manipulation and Optimization\n## Lesson 9: Applying Descriptive Statistical Methods\n## Lesson 10: Describing Key Analysis Techniques\n## Lesson 11: Understanding the Use of Different Statistical Methods\n## Lesson 12: Using the Appropriate Type of Visualization\n## Lesson 13: Expressing Business Requirements in a Report Format\n## Lesson 14: Designing Components for Reports and Dashboards\n## Lesson 15: Distinguishing Different Report Types\n## Lesson 16: Summarizing the Importance of Data Governance\n## Lesson 17: Applying Quality Control to Data\n## Lesson 18: Explaining Master Data Management Concepts\n## Appendix A: Identifying Common Data Analytics Tools\n## Appendix B: Mapping Course Content to CompTIA Data+ (DA0-001)","[{\"question\":\"How does the course prepare learners for the CompTIA Data+ certification?\",\"answer\":\"An appendix maps course content to the official CompTIA Data+ certification exam objectives (DA0-001), helping candidates understand the covered exam domains and key concepts.\"}]","CompTIA Data+ Certification Training - Course Syllabus | PDF",1789970414]