Data Processing and Analysis Certificate

Master data preparation

Learn how to identify, collect, and troubleshoot data in preparation for analysis. The quality and potential of any data analysis is highly dependent on the initial data preparation.

Become a data champion

Help your organization become truly data led.

Completion of this four-part certificate will help you navigate the data ecosystem and ask the right questions so that you can identify and gather the correct data, ensure the quality of the data, learn how to transform the gathered data, and provide insight to inform decision making.

This certificate covers four courses:

• Requirements Gathering: Discover a structured framework that will help you understand the needs of your audience so that you can provide the right information and insight to meet the objectives of your data analytics project and support data-driven decision-making.

• Data Profiling and Collection: Enhance your understanding of data sources and learn how to identify and collect the right data to meet the objectives of your data analytics project.

• Data Cleansing: Learn the data cleansing skills and processes necessary to ensure the integrity and quality of your data and why it's essential for accurate analysis and reporting.

• Data Mining and Modeling: Discover hidden relationships and opportunities to improve financial performance. Learn how to analyze what’s happened and forecast what may happen.

Real-world examples

This course is tailored specifically to accounting and finance professionals. It uses a mixture of real-world examples and case studies relevant to your role to give you different ways to understand and apply knowledge learned throughout the course.

Who Will Benefit

• AICPA & CIMA members who want to learn how to effectively and efficiently prepare and analyze data to aid decision-making
• Global accounting and finance professionals
• Controllers
• Finance directors
• CFOs
• CPAs

Key Topics

• Requirements gathering
• Cleaning data
• Profiling data
• Data mining
• Data modeling

Learning Outcomes

• Recall the definition and purpose of requirements gathering, data profiling and collection, data cleansing, and data mining and modeling.
• Recognize how requirements gathering, data profiling and collection, data cleansing, and data mining and modeling fit in a data analytics project.
• Recall the steps to follow when gathering requirements and profiling, collecting, cleansing, mining, and modeling data.
• Apply techniques learned to common data processing and analysis scenarios.
• Identify risks and considerations associated with requirements gathering and the profiling, collection, cleansing, mining, and modeling of data.