Über diesen Kurs

16,066 kürzliche Aufrufe
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100 % online
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Stufe „Mittel“
Ca. 13 Stunden zum Abschließen
Englisch
Untertitel: Englisch
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. 13 Stunden zum Abschließen
Englisch
Untertitel: Englisch

von

Emory University-Logo

Emory University

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1

Woche 1

2 Stunden zum Abschließen

Basics of Forecasting Models

2 Stunden zum Abschließen
4 Videos (Gesamt 33 min), 3 Lektüren, 1 Quiz
4 Videos
Regression - Based Modeling10m
Examining the Residuals6m
Assessing Forecasting Performance4m
3 Lektüren
Simple Forecasting Model Assignment1h
A Predictive Analytics Primer10m
Nowcasting: A Model for the Future of Marketing10m
1 praktische Übung
Module 120m
Woche
2

Woche 2

5 Stunden zum Abschließen

Customer Analytics: Predicting Individual Customer Behavior

5 Stunden zum Abschließen
6 Videos (Gesamt 110 min), 5 Lektüren, 1 Quiz
6 Videos
Business Decisions Drive Customer Choices9m
Illustrating Customer Acquisition in Excel11m
Timing Models in Marketing10m
Model for Retention Excel Demonstration29m
Kiwi Bubbles Exercise Excel Demonstration39m
5 Lektüren
Read This First10m
Leveraging Customer Analytics: The Insurance Industry30m
Companies still struggle to unlock customer data analytics insight10m
Retention Exercise Instructions1h
Kiwi Bubbles Instructions1h
1 praktische Übung
Module 220m
Woche
3

Woche 3

1 Stunde zum Abschließen

Managing Customer Equity: Linking Customer Analytics to Customer Value

1 Stunde zum Abschließen
4 Videos (Gesamt 40 min), 2 Lektüren
4 Videos
Acquisition, Retention, & Market Value11m
Customer Valuation8m
Marketing to New & Current Customers9m
2 Lektüren
What You Should Know About Customer Success Technology10m
Online Communities Foster Customer Loyalty10m
Woche
4

Woche 4

4 Stunden zum Abschließen

Marketing Mix Modeling

4 Stunden zum Abschließen
4 Lektüren
4 Lektüren
Marketing Mix Modeling15m
Instructions for Exercise30m
Instructions for Exercise30m
Instructions for Exercise30m
2 praktische Übungen
Conducting Exploratory Analysis Quiz10m
Building a Marketing Mix Model Quiz8m

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Über den Spezialisierung Foundations of Marketing Analytics

In this specialization you will learn how to: • Find, extract, organize and describe data to support business decisions • Identify, quantify and interpret relationships between variables • Derive customer insights from your data • Develop spreadsheet models to analyze data, evaluate risk and optimize business decisions • Present and justify a course of action to management The capstone project will give you an opportunity to apply what has been covered in the specialization to solve a marketing analytics problem....
Foundations of Marketing Analytics

Häufig gestellte Fragen

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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