Machine Learning Algorithms with R in Business Analytics
Master machine learning algorithms using R for business analytics. Learn regression, classification, and clustering techniques.
Master machine learning algorithms using R for business analytics. Learn regression, classification, and clustering techniques.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Business Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(32 ratings)
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Learn conceptual framework of ML algorithms
Master interpreting machine learning results
Apply ML algorithms to solve business problems
Gain hands-on experience with R programming
Understand when to use different ML techniques
Skills you'll gain
This course includes:
6.17 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course focuses on applying machine learning algorithms in business analytics using R. Students learn the conceptual framework of various ML algorithms including regression, classification, and clustering techniques. The course covers both theoretical foundations and practical applications, with hands-on experience using R and RStudio. Topics include regression algorithms for prediction, logistic regression for classification, k-nearest neighbors, decision trees, and clustering methods. Emphasis is placed on interpreting results and finding actionable business insights.
Course Orientation and Module 1: Regression Algorithm for Testing and Predicting Business Data
Module 1 · 6 Hours to complete
Framework for Machine Learning and Logistic Regression
Module 2 · 2 Hours to complete
Classification Algorithms
Module 3 · 2 Hours to complete
Clustering Algorithms
Module 4 · 2 Hours to complete
Fee Structure
Instructors
Senior Lecturer of Accountancy and Teaching and Learning Faculty Innovation Scholar
Ronald Guymon is a Senior Lecturer of Accountancy at the University of Illinois Urbana-Champaign, where he has been teaching since 2018. He holds a Ph.D. in Accounting from the University of Iowa, earned in 2008, as well as both a Bachelor’s and Master’s degree in Accounting from Brigham Young University. With a strong focus on data analytics within accounting, Professor Guymon teaches courses such as "Accounting Data Analytics with Python" and "Introduction to Accounting Data Analytics and Visualization," equipping students with the skills necessary to leverage data for informed decision-making in business contexts.In addition to his teaching role, Guymon is recognized as a Teaching and Learning Faculty Innovation Scholar, reflecting his commitment to enhancing educational practices. He has extensive experience in applying data analytics across various industries, having served in roles such as Chief Data Officer for multiple organizations. His research interests include the intersection of accounting and data analytics, with publications addressing topics like performance measurement and the impact of data on decision-making processes. Through his innovative teaching methods and practical insights, Ronald Guymon continues to influence the next generation of accountants and business leaders at UIUC.
Gies College of Business, University of Illinois Urbana-Champaign
The Gies College of Business at the University of Illinois Urbana-Champaign is a premier institution dedicated to preparing students for successful careers across various business disciplines. With a faculty that collectively brings over 250 years of academic and professional experience, Gies College offers a comprehensive curriculum that encompasses Strategy, Entrepreneurship, Global Perspectives, Leadership, Innovation, Marketing, Finance, and Accounting. The college is committed to integrating rigorous research with practical applications, equipping students to tackle contemporary business challenges effectively.Gies College is renowned for fostering innovation and leadership among its students. The courses in the Professional Success Skills specialization are designed to develop essential skills needed in today's dynamic business environment. Each course features individual faculty introductions and bios, allowing students to benefit from the diverse expertise available. Through its robust offerings and emphasis on experiential learning, Gies College of Business continues to shape the future of business education and empower the next generation of leaders.
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4.7 course rating
32 ratings
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