À propos de ce cours
4.5
5,029 notes
1,119 avis
Spécialisation
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 12 heures pour terminer

Recommandé : 4 weeks of study, 5-6 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais, Espagnol, Chinois (simplifié)...

Compétences que vous acquerrez

Predictive AnalyticsCustomer AnalyticsRegression AnalysisMarketing Performance Measurement And Management
Spécialisation
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 12 heures pour terminer

Recommandé : 4 weeks of study, 5-6 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais, Espagnol, Chinois (simplifié)...

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
Heures pour terminer
4 minutes pour terminer

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....
Reading
2 vidéos (Total 4 min)
Video2 vidéos
Overview of the Business Analytics Specialization1 min
Semaine
2
Heures pour terminer
2 heures pour terminer

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. ...
Reading
7 vidéos (Total 73 min), 2 lectures, 1 quiz
Video7 vidéos
Descriptive Data Collection: Survey Overview16 min
Descriptive Data Collection: Net Promoter Score and Self-Reports11 min
Descriptive Data Collection: Survey Design16 min
Passive Data Collection4 min
Media Planning8 min
Causal Data Collection and Summary8 min
Reading2 lectures
Descriptive Analytics Slides10 min
Additional Readings: Descriptive Analytics10 min
Quiz1 exercice pour s'entraîner
Descriptive Analytics Quiz20 min
Semaine
3
Heures pour terminer
2 heures pour terminer

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....
Reading
10 vidéos (Total 79 min), 4 lectures, 1 quiz
Video10 vidéos
Asking Predictive Questions3 min
Regression Analysis, Part 1: The Demand Curve5 min
Regression Analysis, Part 2: Making Predictions5 min
Beyond Period 210 min
Making Predictions Using a Data Set8 min
Data Set Predictions: Mary, Sharmila, or Chris?10 min
Probability Models10 min
Implementation of the Model16 min
Results and Predictions5 min
Reading4 lectures
Reading: Customer Lifetime Value10 min
Predictive Analytics and Regression Analysis Slides10 min
Implementation of the Model Spreadsheet10 min
Additional Readings: Predictive Analytics10 min
Quiz1 exercice pour s'entraîner
Predictive Analytics Quiz20 min
Semaine
4
Heures pour terminer
1 heure pour terminer

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....
Reading
7 vidéos (Total 42 min), 1 lecture, 1 quiz
Video7 vidéos
What is Prescriptive Analytics?4 min
Using the Data to Maximize Revenue6 min
Parameters of the Model10 min
Market Structure9 min
Competition and Online Advertising Models5 min
Conclusion(s)5 min
Reading1 lecture
Prescriptive Analytics Slides10 min
Quiz1 exercice pour s'entraîner
Prescriptive Analytics Quiz20 min
4.5
1,119 avisChevron Right
Orientation de carrière

32%

a commencé une nouvelle carrière après avoir terminé ces cours
Avantage de carrière

83%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours

Meilleurs avis

par AAApr 6th 2017

Perfect Course for those who want to inquire insight and knowledge of how tons of data that we generate in our day to day life is being utilized by big organizations in optimizing their productivity.

par 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.

Enseignants

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
Avatar

Peter Fader

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

Raghu Iyengar

Associate Professor of Marketing
The Wharton School
Avatar

Ron Berman

Assistant Professor of Marketing
The Wharton School

À propos de 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. ...

À propos de la Spécialisation Business Analytics

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....
Business Analytics

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

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