Über diesen Kurs

48,872 kürzliche Aufrufe
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100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
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Stufe „Mittel“
Ca. 20 Stunden zum Abschließen
Englisch
Untertitel: Englisch

Kompetenzen, die Sie erwerben

Data AnalysisAnalyticsMarketingMarketing Analytics
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Mittel“
Ca. 20 Stunden zum Abschließen
Englisch
Untertitel: Englisch

von

University of Illinois at Urbana-Champaign-Logo

University of Illinois at Urbana-Champaign

Beginnen Sie damit, auf Ihren Master-Abschluss hinzuarbeiten.

Dieses Kurs ist Teil des reinen Onlineabschlusses Master of Science in Accountancy (iMSA) von University of Illinois at Urbana-Champaign. Wenn Sie in das komplette Programm aufgenommen werden, werden Ihre Kurse auf Ihren Abschluss angerechnet.

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1

Woche 1

8 Stunden zum Abschließen

Course Introduction

8 Stunden zum Abschließen
20 Videos (Gesamt 132 min), 6 Lektüren, 5 Quiz
20 Videos
Interview with Monica Penagos – MOOC intro8m
Tour of R and RStudio5m
Projects3m
Math Function4m
Scalar Variables6m
Column Vectors9m
Data Frame6m
Data Frame Import2m
Help and Cheat Sheets2m
Interview with Monica Penagos – Intro to Customer Satisfaction1m
Lesson 1-1.1 Introduction to Marketing Analytics and Customer Satisfaction5m
Lesson 1-1.2 Marketing Analtyics – A Brief History12m
Lesson 1-2 Customer Satisfaction12m
Lesson 1-3.1 Measurements and Scaling Techniques – Introduction3m
Lesson 1-3.2 Measurements and Scaling Techniques – Primary Scales of Measurement11m
Lesson 1-3.3 Measurements and Scaling Techniques – Comparative Scaling8m
Lesson 1-3.4 Measurements and Scaling Techniques – Non-Comparative Scaling9m
Lesson 1-4.1 Experiment Design: Key Concepts9m
Lesson 1-4.2 Experiment Design: Controlling for Experimental Errors8m
6 Lektüren
Syllabus30m
About the Discussion Forums10m
Glossary10m
Update Your Profile10m
Module 1 Overview20m
Module 1 Readings1h 30m
5 praktische Übungen
Orientation Quiz30m
Lesson 1-1 Practice Quiz30m
Lesson 1-2 Practice Quiz30m
Lesson 1-3 Practice Quiz30m
Module 1 Graded Quiz30m
Woche
2

Woche 2

4 Stunden zum Abschließen

Module 2

4 Stunden zum Abschließen
8 Videos (Gesamt 78 min), 2 Lektüren, 4 Quiz
8 Videos
Lesson 2-1.1 A/B Testing: Introduction11m
Lecture 2-1.2 A/B Testing: Types of Tests7m
Lesson 2-1.3 A/B Testing: R Example10m
Lesson 2-2.1 ANOVA – Introduction14m
Lesson 2-2.2 One-Way ANOVA – Insect Spray Example8m
Lesson 2-2.3 One-Way ANOVA – Insect Spray Example in R10m
Lesson 2-2.4 Two-Way ANOVA – Tooth Growth Example11m
2 Lektüren
Module 2 Overview20m
Module 2 Readings7m
3 praktische Übungen
Lesson 2-1 Practice Quiz30m
Lesson 2-2 Practice Quiz30m
Module 2 Graded Quiz30m
Woche
3

Woche 3

4 Stunden zum Abschließen

Module 3

4 Stunden zum Abschließen
7 Videos (Gesamt 63 min), 2 Lektüren, 4 Quiz
7 Videos
Lesson 3-1.1 Binary Outcome Model – Logit Model12m
Lesson 3-1.2 Binary Outcome Model – Logit Model Example 111m
Lecture 3-1.3 Binary Outcome Model – Logit Model Example 27m
Lesson 3-2.1 Multi-Dimensional Scaling Introduction10m
Lesson 3-2.2 Conducting an MDS Analysis9m
Lesson 3-2.3 Multi-Dimensional Scaling – R Example9m
2 Lektüren
Module 3 Overview20m
Module 3 Readings30m
3 praktische Übungen
Lesson 3-1 Practice Quiz30m
Lesson 3-2 Practice Quiz5m
Module 3 Graded Quiz30m
Woche
4

Woche 4

4 Stunden zum Abschließen

Module 4

4 Stunden zum Abschließen
11 Videos (Gesamt 70 min), 2 Lektüren, 3 Quiz
11 Videos
Lecture 4-1.1 Conjoint Analysis – Introduction7m
Lesson 4-1.2 Conjoint Analysis – Data Collection Methods9m
Lesson 4-1.3 Conjoint Analysis – Types of Conjoint Analysis2m
Lesson 4-1.4 Conjoint Analysis – Part-Worth Utilities3m
Lesson 4-1.5 Conjoint Analysis Example – Ferry Fares10m
Lesson 4-1.6 Conjoint Analysis – Attributes10m
Lesson 4-1.7a Conjoint Analysis R Example – Setup5m
Lesson 4-1.7b Conjoint Analysis R Example – Part 110m
Lesson 4-1.7c Conjoint Analysis R Example – Part 25m
Course Summary: Applying Data Analytics in Marketing1m
2 Lektüren
Module 4 Overview20m
Module 4 Readings1h
2 praktische Übungen
Lesson 4-1 Practice Quiz30m
Module 4 Graded Quiz30m

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