UIUC - Introduction to Business Analytics with R 

Course Introduction

Meet Prof Ron Guymon

Introduction to Business Analytics and R

Overview of Business Analytics

Examples of Business Analytics

FACT Framework

Introduction to R

Getting Started with R

Calculations with R

Making Your Code Readable

Functions and Using the Built-In Help

Reading and Writing Data

Module 1 Conclusion

Syllabus

About the Discussion Forums

Glossary

Module 1 Overview

Module 1 Readings

Orientation Quiz

Module 1 Quiz

Module 2 Introduction

Is Data an Asset?

Properties of a Tidy Dataframe

Data Dictionaries

Getting to Know Your Data 1: Explore as in Excel

Getting to Know Your Data 2: Referring to Specific Rows and Columns

Summary Statistics

Getting to Know Your Data 3: Summary Statistics for Each Column, and Quick Plots

FACT Framework: Tell Others About The Results

R Notebooks

Markdown

Dashboards Preview

Module 2 Conclusion

Module 2 Overview

Module 2 Readings

Module 2 Quiz

Module 3 Introduction

Assembling Data

Data Types

More on Functions

Packages

Introduction to Other Data Types

Creating Date Types

Calculations with Dates

Factors

Logical Type and Relational Operators

Character Strings

Module 3 Conclusion

Module 3 Overview

Module 3 Readings

Module 3 Quiz

Module 4 Introduction

Module 4 Introduction

Framing Questions for Actionable Insight

Dataframe Shape: Level of Aggregation

Dataframe: Control Versus Feasibility

Dataframe Shape: Wide Versus Long

Review of Notebooks and Introduction to dplyr

Subset Data Using dplyr's Select and Filter Functions

Useful Operators: %.% and %in%

Using dplyr's Mutate, Rename, Relocate, and Distinct Functions

Handling Missing Values

Data Aggregation and Summary

Pivoting Dataframes Between Wide and Long Shapes

Stacking and Sorting Data

Joining Data

Module 4 Conclusion

Module 4 Overview

Module 4 Readings

Module 4 Quiz