On-Demand


14 Total CPE Credits

Data Analytics Modeling Certificate

On-Demand
Total CPE: 14

Data Analytics Modeling Certificate

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
Total CPE
14
Information Technology

Things to Know About This Course

Course Level

  • Intermediate

Prerequisites

Recommended: Complete the Application of Data Analysis Essentials Certificate or ensure you have equivalent knowledge and skills.

Provider

AICPA

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