Professional certification in CompTIA

COMPTIA DATA+ TRAINING (DA0-001)

Our IT training courses are developed with industry-standards and career-focused technologies.

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Certification
Category:
CompTIA
Duration & Study Mode:
Full time, Part-time, Evening and Weekends, Virtual online
Location:
London, Flexible online
Duration: 5 Days / 5 Weeks

The CompTIA Data+ course is a great way to start your career in data analytics.

This course will teach you the basics of data, including developing and promoting data-driven business decision-making. You will also learn about analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.

After completing this course, you will be able to confidently mine data more effectively and make better data-driven decisions for your organization.

Prerequisites

  • No particular prerequisite is there for the CompTIA Data+ Certification Exam.
  • Exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience is recommended.

What will you gain after this course

After completing this CompTIA Data+ training course, you will be able to:  

  • Better Analyze and Interpret Data
  • Make better data-driven decisions
  • Visualize and report data
  • Analyze complex datasets while adhering to governance and quality standards throughout the entire data life cycle

Jobs you can get
with a COMPTIA DATA+ CERTIFICATION

  • Data Analyst
  • Business Intelligence Analyst
  • Marketing Analyst
  • Clinical Analyst
  • Reporting Analyst

Corporate Group Training

  • Customized Training
  • Onsite / Virtual
  • Instructor-led Delivery
  • For small to large groups

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Who is this certification for?

  • Students considering a career in IT.
  • Professionals working in fields that require a broad understanding of IT.
  • Marketing, sales and operations staff in IT-based organizations.

Syllabus

  • Mine data
  • Manipulate data
  • Visualize and report data
  • Apply basic statistical methods
  • Analyze complex datasets while adhering to governance and quality standards throughout the entire data life cycle

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