Course Overview and Module 1: How Do I Get Started Using a Data Analytic Language to Solve Business Problem?-About the Course
Course Introduction
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Meet Prof Ron Guymon
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Syllabus
Glossary
About the Discussion Forums
Online Education at Gies College of Business
Course Overview and Module 1: How Do I Get Started Using a Data Analytic Language to Solve Business Problem?-About Your Classmates
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Course Overview and Module 1: How Do I Get Started Using a Data Analytic Language to Solve Business Problem?-Module 1 Information
Module 1 Overview
Module 1 Readings
Introduction to Business Analytics and R
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Course Overview and Module 1: How Do I Get Started Using a Data Analytic Language to Solve Business Problem?-Module 1 Lectures
Overview of Business Analytics
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Examples of Business Analytics
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FACT Framework
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Introduction to R
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Getting Started with R
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Calculations with R
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Making Your Code Readable
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Functions and Using the Built-In Help
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Reading and Writing Data
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Module 1 Conclusion
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Module 2: How Do I Get to Know My Data and Share It With Others?-Module 2 Information
Module 2 Overview
Module 2 Readings
Module 2 Introduction
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Module 2: How Do I Get to Know My Data and Share It With Others?-Module 2 Lectures
Is Data an Asset?
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Properties of a Tidy Dataframe
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Data Dictionaries
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Getting to Know Your Data 1: Explore as in Excel
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Getting to Know Your Data 2: Referring to Specific Rows and Columns
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Summary Statistics
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Getting to Know Your Data 3: Summary Statistics for Each Column, and Quick Plots
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FACT Framework: Tell Others About The Results
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R Notebooks
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Markdown
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Knitting Markdown Files
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Dashboards Preview
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Module 2 Conclusion
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Module 3: How Can I Use Functions to Help with Data Preparation?-Module 3 Information
Module 3 Overview
Module 3 Readings
Module 3 Introduction
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Module 3: How Can I Use Functions to Help with Data Preparation?-Module 3 Lectures
Assembling Data
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Data Types
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More on Functions
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Packages
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Introduction to Other Data Types
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Creating Date Types
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Calculations with Dates
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Factors
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Logical Type and Relational Operators
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Character Strings
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Module 3 Conclusion
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Module 4: How Do I Preprocess Data?-Module 4 Information
Module 4 Overview
Module 4 Readings
Module 4 Introduction
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Module 4: How Do I Preprocess Data?-Module 4 Lectures
Framing Questions for Actionable Insight
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Dataframe Shape: Level of Aggregation
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Dataframe: Control Versus Feasibility
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Dataframe Shape: Wide Versus Long
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Review of Notebooks and Introduction to dplyr
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Subset Data Using dplyr's Select and Filter Functions
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Useful Operators: %>% and %in%
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Using dplyr's Mutate, Rename, Relocate, and Distinct Functions
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Handling Missing Values
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Data Aggregation and Summary
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Pivoting Dataframes Between Wide and Long Shapes
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Stacking and Sorting Data
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Joining Data
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Module 4 Conclusion
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Module 4: How Do I Preprocess Data?-Course Wrap-up
Congratulations on completing the course!
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