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CompTIA Data+ Certification Training
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.
As the importance for data analytics grows| more job roles are required to set context and better communicate vital business intelligence. Collecting| analyzing| and reporting on data can drive priorities and lead business decision-making. CompTIA Data+ validates certified professionals have the skills required to facilitate data-driven business decisions| including:
Mining data
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Provider Information
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Contact Information
VTEC Training Education Center
343 Gorham Rd
South Portland, ME 04106
Course Overview
Overall Proficiency Level
2 - Intermediate
Course Catalog Number
19239
Course Prerequisites
Required - 18–24 months of experience in a report/business analyst job role. -OR-
Exposure to databases and analytical tools.
Recommended - Basic understanding of statistics| and data visualization experience
Training Purpose
Functional Development
Skill Development
Management Development
Specific Audience
All
Federal Employee
Delivery Method
Classroom
Online, Instructor-Led
Online, Self-Paced
Course Location
67 Gorham Rd
Scarborough, ME 04074
Learning Objectives
Course Details
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 Optimization
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 Visualization
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: Summarizing the Importance of Data Governance
Lesson 17: Applying Quality Control to Data
Lesson 18: Explaining Master Data Management Concepts
Identifying Common Data Analytics Tools
Mapping Course Content to CompTIA Data+ (DA0-001)
Learning Objectives
Data Concepts and Environments
Data Mining
Data Analysis
Visualization
Data Governance| Quality| & Controls
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.
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