Über diesen Kurs
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Ca. 12 Stunden zum Abschließen

Empfohlen: 4 weeks of study, 5-6 hours/week...

Englisch

Untertitel: Englisch, Spanisch, Chinesisch (vereinfacht)

Kompetenzen, die Sie erwerben

Predictive AnalyticsCustomer AnalyticsRegression AnalysisMarketing Performance Measurement And Management

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Ca. 12 Stunden zum Abschließen

Empfohlen: 4 weeks of study, 5-6 hours/week...

Englisch

Untertitel: Englisch, Spanisch, Chinesisch (vereinfacht)

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1
4 Minuten zum Abschließen

Introduction to Customer Analytics

What is Customer Analytics? How is this course structured? What will I learn in this course? What will I learn in the Business Analytics Specialization? These short videos will give you an overview of this course and the specialization; the substantive lectures begin in Week 2.

...
2 Videos (Gesamt 4 min)
Woche
2
2 Stunden zum Abschließen

Descriptive Analytics

In this module, you’ll learn what data can and can’t describe about customer behavior as well as the most effective methods for collecting data and deciding what it means. You’ll understand the critical difference between data which describes a causal relationship and data which describes a correlative one as you explore the synergy between data and decisions, including the principles for systematically collecting and interpreting data to make better business decisions. You’ll also learn how data is used to explore a problem or question, and how to use that data to create products, marketing campaigns, and other strategies. By the end of this module, you’ll have a solid understanding of effective data collection and interpretation so that you can use the right data to make the right decision for your company or business.

...
7 Videos (Gesamt 73 min), 2 Lektüren, 1 Quiz
7 Videos
Descriptive Data Collection: Survey Design16m
Passive Data Collection4m
Media Planning8m
Causal Data Collection and Summary8m
2 Lektüren
Descriptive Analytics Slides10m
Additional Readings: Descriptive Analytics10m
1 praktische Übung
Descriptive Analytics Quiz20m
Woche
3
2 Stunden zum Abschließen

Predictive Analytics

Once you’ve collected and interpreted data, what do you do with it? In this module, you’ll learn how to take the next step: how to use data about actions in the past to make to make predictions about actions in the future. You’ll examine the main tools used to predict behavior, and learn how to determine which tool is right for which decision purposes. Additionally, you’ll learn the language and the frameworks for making predictions of future behavior. At the end of this module, you’ll be able to determine what kinds of predictions you can make to create future strategies, understand the most powerful techniques for predictive models including regression analysis, and be prepared to take full advantage of analytics to create effective data-driven business decisions.

...
10 Videos (Gesamt 79 min), 4 Lektüren, 1 Quiz
10 Videos
Regression Analysis, Part 2: Making Predictions5m
Beyond Period 210m
Making Predictions Using a Data Set8m
Data Set Predictions: Mary, Sharmila, or Chris?10m
Probability Models10m
Implementation of the Model16m
Results and Predictions5m
4 Lektüren
Reading: Customer Lifetime Value10m
Predictive Analytics and Regression Analysis Slides10m
Implementation of the Model Spreadsheet10m
Additional Readings: Predictive Analytics10m
1 praktische Übung
Predictive Analytics Quiz20m
Woche
4
1 Stunde zum Abschließen

Prescriptive Analytics

How do you turn data into action? In this module, you’ll learn how prescriptive analytics provide recommendations for actions you can take to achieve your business goals. First, you’ll explore how to ask the right questions, how to define your objectives, and how to optimize for success. You’ll also examine critical examples of prescriptive models, including how quantity is impacted by price, how to maximize revenue, how to maximize profits, and how to best use online advertising. By the end of this module, you’ll be able to define a problem, define a good objective, and explore models for optimization which take competition into account, so that you can write prescriptions for data-driven actions that create success for your company or business.

...
7 Videos (Gesamt 42 min), 1 Lektüre, 1 Quiz
7 Videos
Parameters of the Model10m
Market Structure9m
Competition and Online Advertising Models5m
Conclusion(s)5m
1 Lektüre
Prescriptive Analytics Slides10m
1 praktische Übung
Prescriptive Analytics Quiz20m
4.5
1324 BewertungenChevron Right

32%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

30%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

Top reviews from Kundeprofil

von NDJan 31st 2019

Though I have worked on Customer Analytics with my previous work experiences and also on Surveys etc at George Brown College Canada, this module was more than insightful. Lots of learning to learn eh!

von SSNov 15th 2016

Amazing course for even beginners in the field of customer analytics. Highly recommend to do this course for enhancing the analytical skills. Examples and case studies explains the concept very well.

Dozenten

Avatar

Eric Bradlow

Professor of Marketing, Statistics, and Education, Chairperson, Wharton Marketing Department, Vice Dean and Director, Wharton Doctoral Program, Co-Director, Wharton Customer Analytics Initiative
The Wharton School
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Peter Fader

Professor of Marketing and Co-Director of the Wharton Customer Analytics Initiative
The Wharton School
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Raghu Iyengar

Associate Professor of Marketing
The Wharton School
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Ron Berman

Assistant Professor of Marketing
The Wharton School

Über University of Pennsylvania

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

Über die Spezialisierung Unternehmensanalytik

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations....
Unternehmensanalytik

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