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 ndash; 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
AICPAnsquo;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.
