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Learner Reviews & Feedback for Introduction to Business Analytics with R by University of Illinois at Urbana-Champaign

4.6
stars
139 ratings

About the Course

Nearly every aspect of business is affected by data analytics. For businesses to capitalize on data analytics, they need leaders who understand the business analytic workflow. This course addresses the human skills gap by providing a foundational set of data processing skills that can be applied to many business settings. In this course you will use a data analytic language, R, to efficiently prepare business data for analytic tools such as algorithms and visualizations. Cleaning, transforming, aggregating, and reshaping data is a critical, but inconspicuous step in the business analytic workflow. As you learn how to use R to prepare data for analysis you will gain experience using RStudio, a powerful integrated development environment (IDE), that has many built-in features that simplify coding with R. As you learn about the business analytic workflow you will also consider the interplay between business principles and data analytics. Specifically, you will explore how delegation, control, and feasibility influence the way in which data is processed. You will also be introduced to examples of business problems that can be solved with data automation and analytics, and methods for communicating data analytic results that do not require copying and pasting from one platform to another....

Top reviews

NP

May 12, 2020

This class was great, you get to learn the basics of R, I have no previous experience with programming languages and I feel in a much better place, after taking this class. I highly recommend it.

DR

Jun 13, 2020

Thank you for helping me in acquiring the knowledge of the analysis using the R studio. I have really got a good understanding of how does this is been applied in an organisation.

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