Certification in Business Data Analytics (IIBA- CBDA) Training
The Certification in Business Data Analytics (IIBA®-CBDA) Training equips professionals with the skills to analyze data effectively and drive business decisions. Learn data analytics concepts, tools, and techniques aligned with IIBA standards to prepare for the CBDA certification exam.
The Certification in Business Data Analytics (IIBA®-CBDA) Training equips professionals with the skills to analyze data effectively and drive business decisions. Learn data analytics concepts, tools, and techniques aligned with IIBA standards to prepare for the CBDA certification exam.
More Information:
- Modality: Virtual
- Learning Style: Course
- Difficulty: Beginner
- Duration: 2 Days
- Course Info: Download PDF
- Certificate: See Sample
Course Information
About This Course:
This two-day session will prepare you for the Certification in Business Data Analytics (IIBA®-CBDA) exam and help you make the most of your post-class study time. This course was designed, created, and taught by IIBA®-CBDA certified professionals to help candidates focus on the critical areas to study and to provide insights into the exam.
This course has been approved for 14 PDUs and for 14 CDUs.
Course Objectives:
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Describe the overall data analytics framework and key domains
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Understand the role of the business analysis professional in the data analytics framework
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Identify and understand how to apply the core concepts described in the Guide to Business Data Analytics v.1.0
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Learn how to apply various techniques to the data analytics effort
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Anticipate the general types of questions that appear on the exam and learn how to answer them
Audience:
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This course is intended for business analysts and others performing business analysis tasks on data analytics initiatives and who wish to be recognized for their ability to effectively execute on those initiatives as well as those who want to prepare for the IIBA®-CBDA exam. There are no eligibility requirements for this exam. However, it is recommended that you have a few years of data analytics experience or at least a minimal understanding of data analytics.
Prerequisites:
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None