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. Digital Badge: Your Professional Distinction Set yourself
apart as a future-ready financial professional. Upon completion,
you will be awarded with a certificate in the form of a digital
badge. Digital badges allow you to distinguish yourself in the
marketplace and show your commitment to quality. The badge can be
posted to your social media profiles and linked to your resume or
email signature, providing maximum visibility to your achievement.
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 Online Access Instructions A personal pin code is
enclosed in the physical packaging that may be activated online
upon receipt. Once activated, you will gain immediate online access
to the product for one full year. System Requirements 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
[email protected].
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