Data Analysis Fundamentals Certificate
The Data Analysis Fundamentals Certificate (10.0 CPE Credits) provides you with the knowledge on the different job roles involved in the analytics practice and the most commonly encountered technologies in today's data ecosystem.
Access to the course is granted for one year.
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The Data Analysis Fundamentals Certificate (10.0 CPE Credits) provides you with the knowledge on the different job roles involved in the analytics practice and the most commonly encountered technologies in today's data ecosystem.
This certificate is Part 1 of the Data Analyst Certificates Bundle - a comprehensive five-part program that provides training and practical guidance on the topic of data analytics.
The Data Analysis Fundamentals Certificate begins with a foundational understanding of the need of transformational assets within an organization and explains the importance of intelligent data management and corresponding analytics practice.
This certificate program aims to provide you with the knowledge on the different job roles involved in the analytics practice and the most commonly encountered technologies in today's data ecosystem. It will cover concepts behind the most common types of data you will need to be prepared to analyze, as well as help you explore the factors impacting data practice. This certificate program will also explain why intelligent data management and a corresponding analytics practice is critical for the success of both the organization and the professional.
WHO WILL BENEFIT
- Accounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations' make informed, data-driven business decisions.
KEY TOPICS
- The business impacts and disruptive potential of organizational data
- Basic concepts behind different types of data and how they're used
- The job roles and duties associated with data analytics
- The life cycle of organizational data and how to manage it
- A vocabulary for evaluating and communicating in data practice
- Exposure to and demonstrations of tools used for managing and analyzing data
- Common obstacles and hurdles to effectively leveraging data in an organization
- How to tie data to business requirements and build business cases
LEARNING OBJECTIVES
- Determine how the digital transformation and disruption landscape create a competitive advantage across the enterprise.
- Identify the organizational ecosystem needed for becoming a data-driven organization.
- Analyze the life cycle of data and its implications for data-driven decision making.
- Compare common problems and risks associated with becoming a data-driven business.
- Differentiate between data analysis tools.
- Identify requirements for data-driven projects.
Credit Info
- CPE CREDITS: Online: 10.0 (CPE credit info)
- NASBA FIELD OF STUDY: Specialized Knowledge
- LEVEL: Basic
- PREREQUISITES: None
- ADVANCE PREPARATION: None
- DELIVERY METHOD: QAS Self-Study
- COURSE ACRONYM: DALP-S1
This product is published by AICPA and sold through an exclusive partnership with Wiley.
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AICPA’s online CPE courses will operate in a variety of configurations, but only the configuration described below is supported by AICPA technicians.
A stable and continuous internet connection is required. In order to record your completion of the online learning courses, please ensure you are connected to the internet at all times while taking the course. It is your responsibility to validate that CPE certificate(s) are available within your account after successfully completing the course and/or exam.
Supported Operating Systems:
- Macintosh OS X 10.10 to present
- Windows 7 to present
Supported Browsers:
- Apple Safari
- Google Chrome
- Microsoft Internet Explorer
- Mozilla Firefox
Required Browser Plug-ins:
- Adobe Flash
- Adobe Acrobat Reader
Technical Support: Please contact service@aicpa.org.