Network analysis is a long-standing methodology used to understand the relationships between words and actors in the broader networks in which they exist. This course covers network analysis as it pertains to marketing data, specifically text datasets and social networks. Learners walk through a conceptual overview of network analysis and dive into real-world datasets through instructor-led tutorials in Python. The course concludes with a major project.
Text Marketing Analytics専門講座コロラド大学ボルダー校（University of Colorado Boulder）このコースについて
2,503 最近の表示
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における3の3コース
中級レベル
Basic Python proficiency, including Python's built-in functions, logic, and data structures, is recommended.
約10時間で修了
英語
字幕：英語
学習内容
Describe the concept of network analysis and related terminology
Apply network analysis to marketing data via a peer-graded project
Visualize a network based on centrality and other statistics via homework
Extract marketing insights from a network via a peer-graded project
習得するスキル
- Python Programming
- Network Analysis
- Text Datasets
- Marketing Analytics
- Social Network
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における3の3コース
中級レベル
Basic Python proficiency, including Python's built-in functions, logic, and data structures, is recommended.
約10時間で修了
英語
字幕：英語
提供：
コロラド大学ボルダー校（University of Colorado Boulder）
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
修士号の取得を目指しましょう
この コース は コロラド大学ボルダー校（University of Colorado Boulder） の100%オンラインの Master of Science in Data Science の一部です。
プログラムのすべてで認定されれば、それらのコースが学位学習に加算されます。
シラバス - 本コースの学習内容
1時間で修了
Network Analysis Introduction and Terminology
In this module, we will learn the key concepts in network analysis and the key terminology, including semantic and social networks. We will also survey common network analyses in marketing.
1時間で修了
2件のビデオ （合計32分）, 3 学習用教材
1時間で修了
Network Analysis Data Structures and Calculations
In this module, we will learn how networks are prepared and the common data formats that represent networks. We will learn the differences between different network calculations and how networks are presented visually.
1時間で修了
2件のビデオ （合計20分）, 1 学習用教材, 1 個のテスト
4時間で修了
Preparing and Visualizing Social Networks
In this module, we will learn how to parse tweet JSON, extract mentions and text, load connections into edge lists, and visualize the network in Google Colab.
4時間で修了
1件のビデオ （合計17分）, 2 学習用教材, 2 個のテスト
4時間で修了
Preparing and Visualizing Semantic Networks
In this module, we will learn how to parse tweet JSON, process text into features, load connections into edge lists, and visualize the network in Google Colab.
4時間で修了
1件のビデオ （合計12分）, 2 学習用教材, 2 個のテスト
Text Marketing Analytics専門講座について
Marketing data are complex and have dimensions that make analysis difficult. Large unstructured datasets are often too big to extract qualitative insights. Marketing datasets also often involve relational and connected and involve networks. This specialization tackles advanced advertising and marketing analytics through three advanced methods aimed at solving these problems: text classification, text topic modeling, and semantic network analysis. Each key area involves a deep dive into the leading computer science methods aimed at solving these methods using Python. This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
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