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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Marketing Analytics</title>
<style>
div.container {
width: 100%;
border: 1px solid gray;
}
header, footer {
padding: 1em;
color: white;
background-color:DodgerBlue;
clear: left;
text-align: center;
}
nav {
float: left;
max-width: 160px;
margin: 0;
padding: 1em;
}
nav ul {
list-style-type: none;
padding: 0;
}
nav ul a {
text-decoration: none;
}
article {
margin-left: 170px;
border-left: 1px solid gray;
padding: 1em;
overflow: hidden;
}
</style>
</head>
<body>
<div class="container">
<header>
<h1><strong>Marketing 3597: Marketing Analytics</strong></h1>
<h2>
Leavey School of Business<br>
Santa Clara University
</h2>
</header>
<nav style="font-size:24px;">
<ul>
<li><a href="https://honeycatty.github.io/MarketingAnalytics/Others/Introduction.html">Introduction</a></li>
<li><a href="https://honeycatty.github.io/MarketingAnalytics/Others/LectureIndex.html">Lectures</a></li>
<li><a href="https://honeycatty.github.io/MarketingAnalytics/Others/Datasets.html">Datasets</a></li>
<li><a href="https://honeycatty.github.io/MarketingAnalytics/Others/ContactInformation.html">Contact</a></li>
</ul>
</nav>
<article style="font-size:16px;">
<h1>Welcome to Marketing Analytics</h1>
<p>This course is designed in response to the need for analytic talent in the marketplace. The overarching purpose of this course is to convey the benefits of a systematic, analytical approach to marketing decision-making, and to build skills, knowledge and confidence in undertaking such analyses.</p>
<h1>All lectures are here.</h1>
<a href="https://honeycatty.github.io/MarketingAnalytics/Lecture%201%20Introduction%20and%20R%20starter/R%20Starter%20and%20Statistics%20Review.html">Lecture 1 Introduction and R starter</a><br>
<a href="https://honeycatty.github.io/MarketingAnalytics/Lecture%202%20Regression%20Analysis/R_regression.html">Lecture 2 Regression Analysis</a><br>
<a href="https://honeycatty.github.io/MarketingAnalytics/Lecture%203%20Marketing%20Mix%20Modeling/R_MMM.nb.html">Lecture 3 Marketing Mix Modeling</a><br>
<a href="https://honeycatty.github.io/MarketingAnalytics/Lecture%204%20Segmentation/Cluster_Lecture.html">Lecture 4 Segmentation</a><br>
<a href="https://honeycatty.github.io/MarketingAnalytics/Lecture%205%20Binary%20Logit%20and%20Targeting/Binary_Logit.html">Lecture 5 Binary Logit and Targeting</a><br>
<a href="https://honeycatty.github.io/MarketingAnalytics/Others/Forcast_Bass_Lecture.html">Lecture 6 Bass Model and Forecasting</a><br>
<a href="https://honeycatty.github.io/MarketingAnalytics/Lecture%207%20MNL%20model%20and%20Choice/MNL_model2.html">Lecture 7 MNL model and Choice</a><br>
<a href="https://honeycatty.github.io/MarketingAnalytics/Lecture%208%20Bayes%20and%20Experiment%20Design/Bayes.html">Lecture 8 Bayes and Experiment Design</a>
</article>
<footer>Copyright © xdong1@scu.edu</footer>
</div>
</body>
</html>