Digital Course
Finder

CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance of data analytics grows, more job roles are required to set the context and better communicate vital business intelligence. Collecting, analysing, and reporting on data can drive priorities and lead to business decision-making. CompTIA Data+ validates certified professionals have the skills required to facilitate data-driven business decisions, including: Mining data, manipulating data, visualising and reporting data, applying basic statistical methods and analysing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.

What Delegates Will Learn
•Boost your knowledge in identifying basic concepts of data schemas and dimensions while understanding the difference between common data structures and file formats
•Grow your skills to explain data acquisition concepts, reasons for cleansing and profiling datasets, executing data manipulation, and understanding techniques for data manipulation
•Gain the ability to apply the appropriate descriptive statistical methods and summarise types of analysis and critical analysis techniques
•Learn how to translate business requirements to form the appropriate visualisation in the form of a report or dashboard with the proper design components
•Increase your ability to summarise important data governance concepts and apply data quality control concepts

Module Outline
Lesson 1: Identifying Basic Concepts of Data Schemas
Lesson 2: Understanding Different Data Systems
Lesson 3: Understanding Types and Characteristics of Data
Lesson 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
Lesson 5: Explaining Data Integration and Collection Methods
Lesson 6: Identifying Common Reasons for Cleansing and Profiling Data
Lesson 7: Executing Different Data Manipulation Techniques
Lesson 8: Explaining Common Techniques for Data Manipulation and Optimisation
Lesson 9: Applying Descriptive Statistical Methods
Lesson 10: Describing Key Analysis Techniques
Lesson 11: Understanding the Use of Different Statistical Methods
Lesson 12: Using the Appropriate Type of Visualisation
Lesson 13: Expressing Business Requirements in a Report Format
Lesson 14: Designing Components for Reports and Dashboards
Lesson 15: Distinguishing Different Report Types
Lesson 16: Summarising the Importance of Data Governance
Lesson 17: Applying Quality Control to Data
Lesson 18: Explaining Master Data Management Concepts

Who Should Attend
•Data Analyst
•Clinical Analyst
•Reporting Analyst
•Marketing Analyst
•Business Data Analyst
•Operations Analyst
•Business Intelligence Analyst