Data Analytics Modeling Certificate, AICPA

This certificate is Part 4 of the Data Analyst Certificates Bundle - a comprehensive five-part program that provides training and practical guidance on the topic of data analytics.

As you develop your understanding of applied predictive analytics, you'll learn how to perform basic forecasting using time-based data to predict future values from a model. You will also learn how to model and calculate scenarios based on distance and space. You will get practice with classification, including naive Bayesian classification; create basic decision trees; and use various techniques for clustering and linear optimization to solve common business problems; as well as learn techniques for assessing the effectiveness of your solutions.

Note: It is recommended that you complete the Data Analytics Modeling 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 businesses make informed, data-driven business decisions.

KEY TOPICS

• Predictive analytics techniques
• Forecasting with data models
• Finding relationships in data
• Bivariate and multivariate linear regression
• KNN classification
• Clustering
• Decision trees
• Training models

LEARNING OBJECTIVES

• Identify the different techniques of predictive analytics: regression, classification, clustering, optimization, and simulation.
• Calculate varying types of regressions using R and Excel.
• Apply classification and clustering algorithms.
• Apply business process optimization to problems by identifying goals and constraints.
• Analyze the various probabilities of outcomes by applying Monte Carlo simulation.
• Calculate performance of predictive analytic algorithms.

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

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

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