The Data Analytics Modeling Certificate (14.0 CPE Credits) will
expand your ability to work with structured and unstructured data
to drive a successful analytics practice. To start, you will learn
to define clear business outcomes for your analytics practice to
ensure your efforts align with your organization's strategic
direction and create value. Next, you will learn data profiling and
data cleansing techniques to maintain data quality throughout the
data life cycle. You'll practice ETL (extract, transform, load)
techniques and work with different data models and analytics tools.
Finally, you will learn how to institute sophisticated tools for
managing an ongoing enterprise data practice, including tools for
data warehousing, managing the data life cycle, and working with
structured and unstructured data. This certificate is Part 3 of the
Data Analyst Certificates Bundle - a comprehensive five-part
program that provides training and practical guidance on the topic
of data analytics. Note: It is recommended that you complete the
Application of Data Analysis Essentials Certificate, or ensure you
have equivalent knowledge and skills, before starting this
certificate course. Learning Labs* This is an interactive learning
program that includes bonus hands-on learning labs that will expose
you to the tools needed to implement an analytics practice in a
practical way and equip you to deploy those tools as needed within
your organization. You will practice using various technologies for
preparing, analyzing and managing datasets in the real world. *Time
spent on learning labs does not award CPE and completing learning
labs is not a requirement for earning the certificate. 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 Defining value and tying analytics to
value-driven business cases Understanding the characteristics of
data and how they can be leveraged to gather insights from
information Identifying project constructs for data analytics
Identifying different types of data with which analysts will be
expected to interact Profiling data for accurate analysis
initiatives Understanding tool capabilities for working with data
Cleansing data with appropriate tools to increases analytics
accuracy Managing data quality and integrity Extracting,
transforming, and loading data Implementing a data warehouse
Managing the data life cycle Creating and using different types of
data models Tools for working with both structured and unstructured
data LEARNING OBJECTIVES Identify opportunities, processes, and
necessary data for solving analytical problems. Apply data
profiling and data cleansing techniques to available data. Use data
preparation and enrichment tools. Use ETL (extract, transform,
load) tools. Compare data warehousing techniques. Use data
warehousing and data management tools. Align the outcomes of your
data analytics practice with your organization's strategic
direction and create value. 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: 14.0 (CPE credit info) NASBA FIELD OF STUDY: Information
Technology LEVEL: Intermediate PREREQUISITES: Recommended: Complete
the Application of Data Analysis Essentials Certificate or ensure
you have equivalent knowledge and skills. ADVANCE PREPARATION: None
DELIVERY METHOD: QAS Self-Study COURSE ACRONYM: DALP-S3 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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