Chapter 1: Database fundamentals
Module A: General database terminology
Module B: Relational and non-relational databases
Module C: Data normalization
Chapter 2: Data design, collection, and programming
Module A: Data design, file formats, and data collection
Module B: Database programming languages
Module C: Collecting/extracting data
Chapter 3: Manipulating data and managing data quality
Module A: Manipulating data
Module B: Managing data quality
Module C: Optimizing queries
Chapter 4: Descriptive statistical methods and analysis techniques
Module A: Descriptive statistical methods
Module B: Techniques and types of analysis
Module C: Inferential statistical methods, tests, and variables
Chapter 5: Visualizing data with charts, reports, and dashboards
Module A: Data visualization basics
Module B: Considering audience, data sources, and delivery
Module C: Report and dashboard design components
Chapter 6: Data governance, quality control, and master data management
Module A: Data governance
Module B: Quality control
Module C: Master data management
CompTIA Data+ Certification DA0-001 provides the knowledge needed to understand and implement data analysis and reporting techniques in support of organizational business requirements, in order to inform decision making. This includes mining and manipulating data, understanding and applying statistical methods, and analyzing complex data sets, all while following governance requirements and quality standards every step of the way.
This course maps to the CompTIA Data+ DA0-001 certification exam. You can download an objectives map for the course by following this link.
You will benefit most from this course if you intend to take the CompTIA Data+ exam. This course assumes that you have some applied knowledge of computers and database software, and basic cybersecurity principles. At the very least, it would be helpful for students to have knowledge of and experience with spreadsheet software (for example, Microsoft Excel) and basic data analysis functions.
For more information and access to the PowerPoint files, please e-mail firstname.lastname@example.org.
Online Labs coming soon!