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.
Introduction to Business Analytics with R
This course is part of multiple programs.
Instructors: Ronald Guymon
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(270 reviews)
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What you'll learn
You will learn how to process data using R and RStudio. You will also explore the interaction between business principles and data analytics.
Skills you'll gain
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There are 4 modules in this course
In this module you will be introduced to (1) the role of data analytics in business domains, and (2) R and RStudio.
What's included
13 videos7 readings2 quizzes1 discussion prompt1 plugin
In this module you will explore whether data is an asset and how to explore a dataset.
What's included
14 videos2 readings1 quiz
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.
What's included
12 videos2 readings1 quiz1 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.
What's included
17 videos4 readings1 quiz1 plugin
Instructors
Offered by
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Association of International Certified Professional Accountants
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Campus BBVA
University of Pennsylvania
Build toward a degree
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
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