# UNIVERSITY OF SOUTHERN CALIFORNIA Marshall School of Business BUAD 425 Data Analysis for Decision Making (Fall 2013) Syllabus

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5 Module 1: Exploratory Data Analysis TENTATIVE COURSE OUTLINE Session 1: Introduction to the Applichem Case and Data Analysis Techniques Questions: What is data analytics? Why data analytics? Learning Outcomes: The purpose of this lesson is to introduce the structure of the class. You will discover that the tools and techniques learned in this class can be applied to many businesses and organizations. Define and recognize opportunity to apply data analytics in real-world situations Understand how companies organize and structure their data Introduce the Applichem Case and how to use Excel to evaluate key performance indicators (KPI) Session 1b: Introduction to Excel Session 2: More on Excel Questions: How do we convert raw data into a usable format in Excel? How can we use basic functions in Excel to analyze data? How to convert date and time into usable format in Excel? Learning Outcomes: You will develop familiarity with Excel as a tool for data analysis, evaluation of performance metrics, and basic excel functionalities. Understand how to import raw data into Excel Learn how to format data in Excel How to use CONCATENATE, IF, and date functions in Excel Session 3: LAB: Advanced Data Analysis in Excel Questions: How to analyze data and evaluate key performance metrics in Excel using pivot tables? How to create a dashboard? How to join data in Excel using VLOOKUP (or HLOOKUP) functions? Learning Outcomes: You will develop familiarity with Excel as a tool for data analysis, evaluation of performance metrics, and creation of dashboard. We will work through the datasets for Case #1 for Applichem. Analyze data in Excel using pivot tables Understand how to use VLOOKUP and HLOOKUP functions in Excel Create charts and dashboards in Excel Due: You can earn participation credits by submitting a half-page discussion of Case #1 by by 6am on the day of this class via Blackboard. Case Preparation Questions: 1. What are Tim Wright s initial findings? 2. What are Tim Wright s preliminary conclusions? 3. What are the four most important KPIs for Applichem? Due: The list of teams for case presentation. Each team should send me an with the team name and the list of their team members and case choice. Each team will have at max 4 students. If I cannot find your name in any team, I will randomly assign you a team and a case. Module 2: Data-Driven Marketing: Targeting via Decision Tree and Logistic Regression Session 4: Decision Tree Questions: What is a decision tree? How to create decision trees from data? How to use decision trees for target marketing? Learning Outcomes: Decision tree is a powerful tool for classification, and has many business applications including estimating likelihood of sales, target marketing, and credit scoring. Understand decision tree and the key concepts behind its construction Recognize business application where these tools can be applied Learn how to fit decision tree to the data using JMP BUAD 425 Data Analysis and Decision Making (Page 5 of 8)

8 Due: Case #3 on Online Marketing Using Google Adwords Due: Case #3 presentation Session 12: LAB: Resource Allocation at Applichem Questions: Using the data on operating performance at each plant and currency exchange rate, how do we build a linear program to determine the optimal resource allocation? Learning Outcomes: You will practice how to formulate an LP for resource allocation that takes into account exchange rate between countries. We will work with the datasets from Case #4. Use data on transportation costs and operating performance to formulate an LP Solve the LP to hedge currency risk Calculate the expected production quantity at each plant and determine the shipment to each market that minimizes the total cost Quiz #3: Clustering Due: You will earn participation credits by submitting a half-page discussion of Case #4 by by 6am on the day of this class via Blackboard. Case Preparation Questions: 1. Where are the Applichem s manufacturing plants located? 2. What are the challenges facing Applichem s manufacturing operations? Session 12b: TBA Session 13 12/03/13 (Tuesday) / 12/05/13 (Thursday): Review for Final Due: Case #4 on Resource Allocation at Applichem Due: Case #4 presentation Final Examination: No early finals are allowed by University policy. Class Date/Time Location BUAD 425 Data Analysis and Decision Making (Page 8 of 8)

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