CompTIA

CompTIA Data+ Training

Data+

CompTIA Data+

The Official CompTIA Data+ Instructor and Student Guides 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.

Training at a glance

Level

Beginner

Duration

5 Days

Experience

2 years: Data Analytics

Average Salary

$65,430

Labs

Yes

Level

Beginner

Duration

5 Days

Experience

2 years: Data Analytics

Average Salary

$65,430

Labs

Yes

Training Details

CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.

CompTIA Data+ gives you the confidence to bring data analysis to life. 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 who 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
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
  • Data Analyst
  • Business Intelligence Analyst
  • Reporting Analyst
  • Marketing Analyst
  • Clinical Analyst
  • Business Data Analyst
  • Operations Analyst

Data+ is an ideal certification for not only data-specific careers, but other career paths can benefit from analytics processes and data analytics knowledge. Jobs like marketing specialists, financial analysts, human resource analysts, or clinical health care analysts can optimize performance and make well-informed decisions when they use and evaluate data correctly.

CompTIA Data+ recommends 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.

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From Lean Six Sigma to Project Management Institute Project Management Professional, Agile and SCRUM, we offer the best-in-class strategic planning and project management training available. Work closely with our seasoned multi-decade project managers.
ATA is the leading OffSec and Hack the Box US training provider, and a CompTIA and EC-Council award-winning training partner. We offer the best offensive and defensive cyber training to keep your team ahead of the technology skills curve.
Let us teach your team the high-level traits and micro-level tools & strategies of effective 21st-century leadership. Empower your team to play to each others’ strengths, inspire others and build a culture that values communication, authenticity, and community.