The CompTIA Data+ exam will certify the successful candidate has the knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.
Course Overview
CompTIA Data+ is a data analysis certification for professionals charged with developing and enhancing data-driven business decision making. CompTIA Data+ gives you the confidence to bring data analysis to life.
Course Outlines
- Identifying Basic Concepts of Data Schemas
- Explaining Data Integration and Collection Methods
- Identifying Common Reasons for Cleansing and Profiling Data
- Executing Different Data Manipulation Techniques
- Explaining Common Techniques for Data Manipulation and Optimization
- Applying Descriptive Statistical Methods
- Summarizing the Importance of Data Governance
- Applying Quality Control to Data
- Explaining Master Data Management Concepts
Course Objectives
On course completion, you will be able to:
- Visualizing and reporting data
- Manipulating data
- Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
- Applying basic statistical methods
- Mining data
Course Prerequisites
18 to 24 months of experience in a report/business analyst job role, exposure to databases and analytics tools, a basic understanding of statistics, and data visualization experience.
Course Schedule
No Schedule Available
- In-Person Training:
Benefits:
Personal Interaction: Participants can interact with the instructor and fellow learners, fostering a sense of community.
Immediate Feedback: Instructors can provide real-time feedback, addressing questions and concerns on the spot.
Hands-on Activities: Practical exercises and group activities can be conducted more effectively in person.
- Online Training:
Benefits:
Flexibility: Learners can access the course content at their own pace and time, accommodating diverse schedules.
Cost-Effective: Eliminates the need for travel and accommodation expenses, making it more economical.
Scalability: Can accommodate a large number of participants simultaneously, making it suitable for widespread audiences.
- Blended Learning (Combination of In-Person and Online):
Benefits:
Flexibility: Combines the advantages of both in-person and online formats, offering a balance between structure and autonomy.
Cost-Efficiency: Reduces the need for extensive in-person sessions, saving on travel and venue costs.
Adaptability: Can cater to diverse learning styles by incorporating various modes of instruction.
- Virtual Classrooms:
Benefits:
Real-Time Interaction: Allows for live Q&A sessions, discussions, and engagement with participants.
Accessibility: Participants from different locations can join without the need for physical presence.
Recording Options: Recordings can be made available for participants who may have missed the live session.
- Self-Paced Learning (eLearning Modules, Videos):
Benefits:
Individualized Learning: Participants can progress at their speed, revisiting content as needed.
Consistency: Ensures uniform delivery of content to all participants.
24/7 Accessibility: Learners can access materials whenever and wherever is convenient for them.
- Customized Courses:
Relevant Content: Tailored to specific organizational goals.
Industry Focus: Incorporates real industry challenges.
Adapted Learning: Matches varied skill levels of participants.
Focused Skills: Targets key competencies for job success.
Cultural Sensitivity: Respects diverse backgrounds within the organization.
Engaging Content: Uses relatable examples and scenarios.
Flexible Delivery: Adaptable to different learning formats.
Measurable Success: Sets clear objectives for easy evaluation.
Continuous Improvement: Uses feedback for ongoing enhancements.
Cost-Effective: Efficiently directs resources for maximum impact.