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The Application of Data Analysis Essentials Certificate (14.0 CPE Credits) offers hands-on experience regarding how to analyze data and calculate fundamental aspects of your data sets. This certificate program provides the core concepts and definitions of data analytics, which explain the anatomy of data as a medium, and provides fundamental statistical analysis techniques for beginning to glean useful information from data. This certificate is Part 2 of the Data Analyst Certificates Bundle - a comprehensive five-part program that provides training and practical guidance on the topic of data analytics. First, you will learn the different types of variables that make up a data set and perform meaningful calculations on data to discover and explore relationships that yield insights: central tendency, variability, probability, and distribution. Then we will delve into recognizing these qualities in their different forms and how to utilize them in practical business situations. This program offers straightforward exercises to help you practice and immediately apply what you've learned. You will also get exposure to and practice with useful concepts such as quartiles, variance, and standard deviation. Finally, you will be introduced to one of the most powerful tools available for analyzing data: the open-source "R" platform. You will be guided through an actual use case for analyzing data using R and complete your learning by seeing how the statistical concepts you've just learned can be applied in a real-world example. By completing this certificate, you will have a solid grasp of core statistical techniques underpinning an analytics practice and hands-on-practice using them. Note: It is recommended that you complete the Data Analysis Fundamentals Certificate, or ensure you have equivalent knowledge and skills, before starting this certificate course. 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 equip you to deploy those tools as needed within your organization. You will practice using various technologies for preparing, analyzing and managing datasets 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 The nature and types of different variables in data sets and how to use them Fundamental statistical concepts for working with data Characteristics of data that can be used for conducting analysis Basic calculations for analyzing and discovering useful insights from data sets How to understand and calculate probability from a data set Different types of distribution and how they can be used Guided exposure to the open-source R platform and its analytics capabilities A practical case study exploring how statistical analysis can be used in a common fraud-detection scenario Examples and practice exercises throughout the program to reinforce what you learn LEARNING OBJECTIVES Determine and classify variables. Calculate meaningful statistics, including central tendency, measurement and variability, basic probability, conditional probability, advanced probabilities, discrete distributions, and continuous distributions. Analyze statistics and distributions in R case study. Analyze fraud-detection case study. 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 CPE CREDITS: Online: 14.0 (CPE credit info) NASBA FIELD OF STUDY: Statistics LEVEL: Intermediate PREREQUISITES: Recommended: Complete the Data Analysis Fundamentals Certificate or ensure you have equivalent knowledge and skills. ADVANCE PREPARATION: None DELIVERY METHOD: QAS Self-Study COURSE ACRONYM: DALP-S2 Online Access Instructions A personal pin code is enclosed in the physical packaging that may be activated online upon receipt. Once activated, you will gain immediate online access to the product for one full year. System Requirements AICPA’s online CPE courses will operate in a variety of configurations, but only the configuration described below is supported by AICPA technicians. A stable and continuous internet connection is required. In order to record your completion of the online learning courses, please ensure you are connected to the internet at all times while taking the course. It is your responsibility to validate that CPE certificate(s) are available within your account after successfully completing the course and/or exam. Supported Operating Systems: Macintosh OS X 10.10 to present Windows 7 to present Supported Browsers: Apple Safari Google Chrome Microsoft Internet Explorer Mozilla Firefox Required Browser Plug-ins: Adobe Flash Adobe Acrobat Reader Technical Support: Please contact service@aicpa.org.

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The Data Analytics Modeling Certificate (14.0 CPE Credits) will expand your ability to work with structured and unstructured data to drive a successful analytics practice.To start, you will learn to define clear business outcomes for your analytics practice to ensure your efforts align with your organization's strategic direction and create value. Next, you will learn data profiling and data cleansing techniques to maintain data quality throughout the data life cycle. You'll practice ETL (extract, transform, load) techniques and work with different data models and analytics tools. Finally, you will learn 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.This certificate is Part 3 of the Data Analyst Certificates Bundle – a comprehensive five-part program that provides training and practical guidance on the topic of data analytics.Note: It is recommended that you complete the Application of Data Analysis Essentials Certificate, or ensure you have equivalent knowledge and skills, before starting this certificate course.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 equip you to deploy those tools as needed within your organization. You will practice using various technologies for preparing, analyzing and managing datasets 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 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 CPE CREDITS: Online: 14.0 (CPE credit info) NASBA FIELD OF STUDY: Information Technology LEVEL: Intermediate PREREQUISITES: Recommended: Complete the Application of Data Analysis Essentials Certificate or ensure you have equivalent knowledge and skills. ADVANCE PREPARATION: None DELIVERY METHOD: QAS Self-Study COURSE ACRONYM: DALP-S3 Online Access InstructionsA personal pin code is enclosed in the physical packaging that may be activated online upon receipt. Once activated, you will gain immediate online access to the product for one full year. System RequirementsAICPA’s online CPE courses will operate in a variety of configurations, but only the configuration described below is supported by AICPA technicians.A stable and continuous internet connection is required. In order to record your completion of the online learning courses, please ensure you are connected to the internet at all times while taking the course. It is your responsibility to validate that CPE certificate(s) are available within your account after successfully completing the course and/or exam. Supported Operating Systems: Macintosh OS X 10.10 to present Windows 7 to present Supported Browsers: Apple Safari Google Chrome Microsoft Internet Explorer Mozilla Firefox Required Browser Plug-ins: Adobe Flash Adobe Acrobat Reader Technical Support: Please contact service@aicpa.org.

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