Which deal would you choose? Which deal would be more memorable if you won?

In this case, students take the role of a new accountant who has been asked to analyze available data about the Chicago cab industry.

In this case, students take the role of a new accountant who has been asked to analyze available data about the Chicago cab industry.

In this case, students take the role of a new accountant who has been asked to analyze available data about the Chicago cab industry.

Data Analytics Foundations for Accountancy I introduces students to the basic concepts needed to complete common data analytic tasks in accountancy and business in general.

Data Analytics Foundations for Accountancy II builds upon concepts introduced in the Data Analytics Foundations for Accountancy I to enable students to obtain, explore, and analyze richer and more complex data sets.

Use R to perform statistical analysis on Netflix data.

In this case, you will retrieve, aggregate, and report financial statement line items created from transaction-level data.

What would you do in a dilemma situation and why?

Do you make decisions in a more centralized or a more decentralized way?

How much controller autonomy should be given?

The workplace wellness industry is big business with $8 billion in annual revenue and covering over 50 million American workers, but does it really work?

How should we approach the collection and use of big data, especially facial recognition data?

Check out this guide to learn the overview and structure of the ethics case studies.

Will feedback frequency affect future performance?

The First Course in Foundations of Data Analytics consists of Python programming, data analysis, visualization, and more.

This guide discusses good data for a case along with components of a data case.

Why do scientists care about internal resource allocation decisions including innovation budgeting?

Are you curious about clustering? Learn clustering using Excel.

Use a comprehensive dataset of simulated financial reporting and tax return information to create case studies.

Can you use Machine Learning (ML) and Predictive Analytics (PA) to predict the smartwatch adoption by consumers?

Is it ethical to use the information from the applicants' social media page?

Which is a better way of recruiting for your organization?

As technology becomes more human, the potential is vast, but what are the ethical concerns?

Students will work in PowerBI/Tableau to create data visualizations, perform related analyses, and execute risk assessment procedures for the related revenue account.

Which option do you prefer and is more motivating?

The Second Course in Foundations of Data Analytics will build a practical foundation for machine learning by teaching students basic tools and techniques that can scale to large computational systems and massive data sets.

This case study will help you understand the process of creating customer segments from a sales transaction data set.

How should we think about the boundary between collecting users' personal information to improve the quality of a product and the privacy of the users?

What issues should social media companies think about when designing the algorithms that determine what users see?

Is your approach the best way to achieve your strategic goals?

What do you do when the data contradicts your boss's decision?

This case study teaches RPA by walking you through how to automate web scraping using UiPath.