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This course is part of multiple programs.
Instructors: Ronald Guymon
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(282 reviews)
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Beginner level
At least 1 year of business experience. Critical thinking.
(282 reviews)
Recommended experience
Beginner level
At least 1 year of business experience. Critical thinking.
Examine the interplay between business principles and data analytics.
Build a foundation for performing data analytics by installing and gaining experience using R, RStudio, and tidyverse packages.
Manipulate the most commonly used data types using functions.
Develop efficient, easy-to-read approaches for assembling and processing data for analysis.
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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.
In this module you will be introduced to (1) the role of data analytics in business domains, and (2) R and RStudio.
13 videos7 readings2 assignments1 discussion prompt1 plugin
In this module you will explore whether data is an asset and how to explore a dataset.
14 videos2 readings1 assignment
This module starts with a discussion on the importance of assembling data for business analytic purposes, and then illustrates data transformation using Tidyverse, a group of useful R packages.
12 videos2 readings1 assignment1 peer review
In this module, we will learn how delegation, feasibility, and control influence the level at which data is aggregated. We then focus on performing a variety of data preprocessing tasks to prepare data for use in visualizations and algorithms.
17 videos4 readings1 assignment1 plugin
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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This course is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
This course is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
University of Illinois Urbana-Champaign
Degree · 2 – 3 years
University of Illinois Urbana-Champaign
Degree · 1 year
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
282 reviews
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Reviewed on Aug 2, 2023
Excellent content for someone with no background in R. The course is thoughtfully designed and well presented. I am willing to ignore a couple of minor issues I noticed.
Reviewed on 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.
Reviewed on Jul 20, 2021
Interesting and efficient course that makes you interested in R even more and also shows you how to use big data in daily tasks!
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.