Application of Data Analysis Essentials Certificate, AICPA

This certificate is Part 5 of the Data Analyst Certificates Bundle - a comprehensive five-part program that provides training and practical guidance on the topic of data analytics.

You will learn fundamental types of visualization techniques such as charts and graphs and explore a sampling of the most common reporting tools for producing meaningful visualizations. You will continue by developing an understanding of business intelligence (BI) -- the overall architecture by which organizational data can be managed and understood. Additionally, you will examine the various components and technologies that make up effective BI and understand how they fit within the larger business.

Finally, you will be guided through fundamental design principles and communication concepts behind effective dashboards and reports and how to present findings from data to other business stakeholders. This certificate ensures that your data analysis skills are demonstrated effectively so the leaders of your organization understand your strategic value.

Note: It is recommended that you complete the Forecasting and Predictive Analytics Certificate, or ensure that you have equivalent knowledge and skills, before starting the Data Visualization Certificate.

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 that will equip you to deploy those tools as needed within your organization. You will practice using various technologies for preparing, analyzing, and managing data sets 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

• Communicating insights from data
• Making decisions from data
• Ways to visualize data
• Design principles for visualizing data
• Setting up business intelligence in organizations
• Components of BI platforms
• How underlying data architecture affects reporting and predictive analytics techniques

LEARNING OBJECTIVES

• Formulate a data story with visualizations.
• Identify key stakeholder perspectives.
• Determine organizational data needs.
• Differentiate between common BI frameworks.
• Use visualization tools to share data stories across the organization.
• Recall visualization best practices

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

*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