20SI-C014: Data Analytics Modeling (Certificate Program)
Valid for one year from purchase date
Self-study - On-Demand
14 CPE (14 technical)
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This certificate program will expand your ability to work with data to drive a successful analytics practice. Learn to define clear business outcomes for your analytics practice to ensure your efforts create value and align with your organization's strategic direction. Explore data profiling and data cleansing techniques to maintain data quality throughout the data life cycle. Get practice with extract, transform and load (ETL) techniques and work with different data models and analytics tools. Find out 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.
Major subjects
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Defining value and tying analytics to value-driven business cases
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Understanding the characteristics of data and how they can be leveraged to gather insights from information
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Identifying project constructs for data analytics
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Identifying different types of data with which analysts will be expected to interact
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Profiling data for accurate analysis initiatives
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Understanding tool capabilities for working with data
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Cleansing data with appropriate tools to increase analytics accuracy
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Managing data quality and integrity
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Extracting, transforming and loading data
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Implementing a data warehouse
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Managing the data life cycle
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Creating and using different types of data models
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Tools for working with both structured and unstructured data
Learning objective(s)
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Identify opportunities, processes and necessary data for solving analytical problems
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Apply data profiling and data cleansing techniques to available data
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Use data preparation and enrichment tools
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Use ETL tools
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Compare data warehousing techniques
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Use data warehousing and data management tools
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Align the outcomes of your data analytics practice with your organization's strategic direction
Who should take this program?
Accounting and finance professionals interested in learning and applying data analysis techniques to help their organizations make informed, data-driven business decisions
Fees
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$879.00
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Standard Member Fee |
$699.00
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Standard Nonmember Fee |
$879.00
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