Introduction to Business Analytics with R
Master data processing and analysis using R programming for business insights. Perfect for beginners in analytics.
Master data processing and analysis using R programming for business insights. Perfect for beginners in analytics.
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 Data Management and Communication 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.
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What you'll learn
Process and prepare business data using R and RStudio
Understand the business analytics workflow
Apply data transformation techniques using Tidyverse
Create effective data visualizations and reports
Manage and analyze business datasets efficiently
Develop practical programming skills for data analysis
Skills you'll gain
This course includes:
6.5 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 introduces business professionals to data analytics using R programming. Students learn the complete business analytics workflow, focusing on data processing and preparation using RStudio. The curriculum covers essential skills including data cleaning, transformation, aggregation, and reshaping. Through hands-on practice, students explore how business principles interact with data analytics, learning to use R for efficient data preparation and analysis.
How Do I Get Started Using a Data Analytic Language to Solve Business Problem?
Module 1 · 4 Hours to complete
How Do I Get to Know My Data and Share It With Others?
Module 2 · 2 Hours to complete
How Can I Use Functions to Help with Data Preparation?
Module 3 · 6 Hours to complete
How Do I Preprocess Data?
Module 4 · 3 Hours to complete
Fee Structure
Instructors
Expert in Business Analytics and Data Science Education
Dr. Ashish Khandelwal serves as a Teaching Assistant Professor in Business Administration at the University of Illinois Urbana-Champaign, where he specializes in business analytics and data science education. His academic credentials include a PhD in Marketing from the Indian School of Business (2019), an MBA from the University of Wisconsin-Madison (2015), and a BS in Mathematics from Jiwaji University. Currently serving as an RC Evans Data Analytics Scholar (2022-2023), he teaches courses in business analytics, marketing analytics, and data science. His professional experience spans both academia and industry, including roles at McNeil Consumer Healthcare and various educational institutions in India. He leads the course "Introduction to Business Analytics with R" on Coursera, teaching students how to leverage data analytics for business decision-making. His research interests focus on investigating the impact of marketing interventions and applying advanced analytics techniques to solve complex business problems. Through his teaching, he combines theoretical knowledge with practical applications, helping students develop skills in statistical analysis, big data analytics, and market research.
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.
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