On-Demand


14 CPE

Data Analytics Modeling Certificate (On-Demand) 2023

On-Demand
14 CPE

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

Major 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

CPE Credits Available

14 CPE
14
Information Technology

Things to Know About This Course

Course Level

  • Intermediate

Professional Area of Focus

  • Data Analysis

Prerequisites

It is recommended that you complete the Application of Data Analysis Essentials Certificate, or ensure you have equivalent knowledge and skill s, before starting this certificate course.

Advanced Preparation

None.

Intended Audience

Accounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations make informed, data-driven business decisions.

Provider

AICPA - Durham

This can not be purchased at this time.