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The University of Illinois-Deloitte Foundation Center for Business Analytics is now releasing the Second Course in Foundations of Data Analytics as well as five mini-case studies. This second course – similar to the first – is free, online, and accessible to anyone who wants to leverage it for their educational mission.

 


Second Course in Foundations of Data Analytics

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. Topics include algorithms, overfitting and regularization, clustering, anomaly detection, and more.

Module #1: Introduction to Machine Learning
Module #2: Fundamental Algorithms
Module #3: Practical Concepts in Machine Learning
Module #4: Overfitting and Regularization
Module #5: Fundamental Probabilistic Algorithms
Module #6: Feature Engineering
Module #7: Introduction to Clustering
Module #8: Introduction to Anomaly Detection

Each of eight modules consists of multiple lessons, which each contain a video explaining the lesson content, external reading(s), and included course Jupyter notebooks. Each module also includes a quiz (or assessment) that tests basic mastery of the lesson contents, and a programming assignment that tests synthesis of the lesson contents. Click here or complete the brief registration form to access the Second Course in Foundations of Data Analytics.

Mini-Case Studies

The Center is also releasing five mini-case studies, which are designed to build up students’ understanding of a management control system (MCS) and their data analytics skills in investigating MCS-related issues. These cases can be inserted directly into your data analytics curriculum and offer students the opportunity to leverage and interpret data in important and practical ways.

The five mini-case studies, which were created by Fei Du, assistant professor of accounting at the University of Illinois’ Gies College of Business, focus on the following areas:

Control Tools
   1. Holding people accountable for results – “Results control”
   2. Identifying, selecting, hiring, promoting the right employees – “Personnel control”
   3. Promoting the right type of cultures and norms – “Cultural control”

Data Analytics Skills
   1. Operationalizing a big control issue and disaggregating into specific data questions
   2. Properly asking managers or employees to answer these specific questions
   3. Designing a data structure to collect archival records to answer specific questions
   4. Critically evaluating the meaning of the data pattern
   5. Clearly communicating your results to decision makers in the organization

If you would like to access the mini-case studies, please complete the brief registration form. Access will be emailed to you soon after you complete the registration form. If you have additional questions or would like to provide feedback, email us.

 


Thanks for your support of the University of Illinois-Deloitte Foundation Center for Business Analytics.

Sincerely,

Robert Brunner
Director, University of Illinois-Deloitte Foundation Center for Business Analytics
Associate Dean for Innovation & Chief Disruption Officer, Gies College of Business

 

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