![]() This course will cover the application of several descriptive, predictive and prescriptive analytic techniques. Attendance at the introductory or intermediate course is not required for those with significant practical experience in a professional setting. ![]() This is the third course in the "R" Data Science Series and will build on the material from "Intermediate "R". To ensure your success, be sure that you have reviewed and are comfortable with the material covered in the Intro to R and Intermediate R courses. This course makes strong assumptions about your prior knowledge. Apply family (apply, lapply, sapply, tapply).Control statements (if, ifelse, for, while, repeat).Working in a Reproducible Environment (50 min) Be able to communicate their analysis through a variety of mediums.Understand the analytic modeling process.Be fluent with exploratory data analyses.Understand how to minimize code duplication by applying control statements, the apply family of functions, along with developing their own functions.Have mastered the data wrangling process to include handling text data and scraping structured and unstructured online data.Be able to work in a fully reproducible literate statistical environment.Upon successfully completing this course, students will: There will be an emphasis on using hands on exercises and real world datasets. This course will cover the application of R for the entire data science workflow – data acquisition, wrangling, visualization, analytic modeling, and communication. For those with little prior experience, please contact Larry Porter for resources to prepare for this class. Attendance at the introductory course is not required for those with practical experience in a professional setting. This is the second course in the "R" for Data Science series and will build on the material from "Introduction to "R". Cincinnati Business Achievement Awards right arrow down arrow.Resources For Students right arrow down arrow.Resources For Employers right arrow down arrow.Warren Bennis Leadership Institute right arrow down arrow.Urban Impact Studio right arrow down arrow.Kautz-Uible Economics Institute right arrow down arrow.Family and Private Business Awards (FPBA).Professional Selling right arrow down arrow.Entrepreneurship right arrow down arrow.Contact the Center for Business Analytics.Business Analytics right arrow down arrow.Contact the Center for Insurance and Risk Management.Insurance and Risk Management right arrow down arrow.Centers & Partnerships right arrow down arrow.Academic Departments right arrow down arrow.Faculty & Research right arrow down arrow.Academic Resources right arrow down arrow.Operations, Business Analytics, and Information Systems.Graduate Certificates right arrow down arrow.Specialized Master's Programs right arrow down arrow.Undergraduate Programs right arrow down arrow. ![]() Meet the Founder: Kolodzik Business Scholars.Lindner Business Honors right arrow down arrow.Inclusive Excellence right arrow down arrow.The Lindner Advantage right arrow down arrow. ![]()
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