$495.00

25 in stock

CompTIA Data+ One Day Preview (11/08/2023)

This course is designed to be an accelerated start into preparing for this certification and offers practical data training that can be applied to your data work. You’ll receive a digital copy  of the Official CompTIA Data+ Study Guide with this course. The guide teaches learners 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.

What comes with the course

The Official CompTIA Data+ Study Guide (eBook) and ThinkData’s presentation deck are included. The Official CompTIA Data+ Study Guide has been developed by CompTIA for the CompTIA certification candidate. Rigorously evaluated to validate coverage of the CompTIA Data+ (DAO-001) exam objectives, the Official CompTIA Data+ Study Guide teaches learners 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 life cycle. In addition, it will help prepare students take the CompTIA Data+ certification exam.

Topics highlighted during course:

  • Identify Basic Concepts of Data Schemas
  • Understand Different Data Systems
  • Understand Types and Characteristics of Data
  • Compare and Contrast Different Data Structures, Formats, and Markup Languages
  • Explain Data Integration and Collection Methods
  • Identify Common Reasons for Cleansing and Profiling Data
  • Execute Different Data Manipulation Techniques
  • Explain Common Techniques for Data Manipulation and Optimization
  • Apply Descriptive Statistical Methods
  • Describe Key Analysis Techniques
  • Understand the Use of Different Statistical Methods
  • Use the Appropriate Type of Visualization
  • Express Business Requirements in a Report Format
  • Design Components for Reports and Dashboards
  • Distinguish Different Report Types
  • Summarize the Importance of Data Governance
  • Apply Quality Control to Data