CompTIA Data+® Certification Training

Categories: CompTIA

In this course, you will:
Participate in Instruction from CompTIA-certifiedData+ Certification preparation course.
Receive a CompTIA Data+ Exam Voucher included upon completion of the course.
Identify Data Concepts and Environments important in analytics.
Execute techniques in Data Mining, Data Mining, and Visualization.
Summarize the importance of Data Governance, Quality, and Controls.
Continue learning and face new challenges with after-course one-on-one instructor coaching.
Training Prerequisites
CompTIA recommends 18–24 months (about 2 years) of experience in a report/business analyst job to succeed in this course.
Exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experiences, such as Excel, Power BI (Business Intelligence), and Tableau.
Certification Information
CompTIA DA0-001
Testing through Pearson VUE

Course Content

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CompTIA Data+ Instructor-Led Course Outline

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Unlock the power of data-driven decision-making with the CompTIA Data+ Certification Training! As the importance of data analytics continues to grow, more job roles are being created to set a context and better communicate vital business intelligence. This comprehensive course will teach you the skills required to facilitate data-driven business decisions, including mining, manipulating, visualizing, and reporting data.
Learn to apply basic statistical methods and analyze complex datasets while adhering to governance and quality standards throughout the entire data life cycle. The course also covers data integration and collection methods, data governance tools, and how to express business requirements in a report format.
Upon completing the course, you will receive a CompTIA Data+ Exam Voucher and the opportunity to work with an instructor for after-course one-on-one coaching. If you're a data analyst, reporting analyst, business intelligence analyst, clinical analyst, marketing analyst, operations analyst, or simply someone interested in data analytics, this course is for you!