This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.
oferecido por
Applying Data Analytics in Marketing
Universidade de Illinois em Urbana-ChampaignUniversidade de Illinois em Urbana-ChampaignInformações sobre o curso
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 17 horas para completar
Inglês
Legendas: Inglês
Habilidades que você terá
Data AnalysisAnalyticsMarketingMarketing Analytics
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 17 horas para completar
Inglês
Legendas: Inglês
oferecido por
Universidade de Illinois em Urbana-ChampaignUniversidade de Illinois em Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
Comece a trabalhar rumo ao seu mestrado
Este curso é parte da graduação 100% on-line Master of Science in Accountancy (iMSA) da Universidade de Illinois em Urbana-ChampaignUniversidade de Illinois em Urbana-Champaign.
Caso seja aceito para o programa completo, seus cursos contarão para sua graduação.
Programa - O que você aprenderá com este curso
7 horas para concluir
Course Introduction
With the first module, we will measure and identify satisfied customers to adjust product or service accordingly. To measure the customer satisfaction we will measure expectations, performance and disconfirmation of the offered product or service. We will also provide an overview of marketing analytics used to gauge the effectiveness of different marketing activities. Finally, we will go through measurement and scaling techniques.
7 horas para concluir
13 vídeos (Total 82 mín.), 5 leituras, 5 testes
13 videos
Instructor Bio: Joseph Yun ***1min
Interview with Monica Penagos – MOOC intro8min
Module 1 Overview ***25s
Interview with Monica Penagos – Intro to Customer Satisfaction1min
Lesson 1-1.1 Introduction to Marketing Analytics and Customer Satisfaction5min
Lesson 1-2.1 Customer Satisfaction12min
Lesson 1-3.1 Measurements and Scaling Techniques – Introduction3min
Lesson 1-3.2 Measurements and Scaling Techniques – Primary Scales of Measurement11min
Lesson 1-3.3 Measurement and Scaling Techniques – Comparative Scaling ***8min
Lesson 1-3.4 Measurements and Scaling Techniques – Non-Comparative Scaling9min
Lesson 1-4.1 Experiment Design: Key Concepts9min
Lesson 1-4.2 Experiment Design: Controlling for Experimental Errors8min
5 leituras
Syllabus30min
About the Discussion Forums10min
Glossary10min
Module 1 Overview20min
Module 1 Readings & Files1h 30min
5 exercícios práticos
Orientation Quiz30min
Lesson 1-1 Practice Quiz30min
Lesson 1-2 Practice Quiz30min
Lesson 1-3 Practice Quiz30min
Module 1 Graded Quiz30min
4 horas para concluir
Module 2
We will explore the marketing world through process of A/B testing, design of experiments, data analysis, and hypothesis testing. Next, we study Analysis of Variance (ANOVA) which is used to determine significant differences between two or more categorical groups. We will study ANOVA’s assumptions, test inference and different types of ANOVA. We also spend some time in designing experiments.
4 horas para concluir
9 vídeos (Total 78 mín.), 2 leituras, 4 testes
9 videos
Interview with Monica Penagos – A/B Testing and ANOVA in Practice2min
Lesson 2-1.1 A/B Testing: Introduction11min
Lecture 2-1.2 A/B Testing: Types of Tests7min
Lesson 2-1.3 A/B Testing: R Example10min
Lesson 2-2.1 ANOVA – Introduction14min
Lesson 2-2.2 One-Way ANOVA – Insect Spray Example8min
Lesson 2-2.3 One-Way ANOVA – Insect Spray Example in R10min
Lesson 2-2.4 Two-Way ANOVA – Tooth Growth Example11min
2 leituras
Module 2 Overview20min
Module 2 Readings & Files7min
3 exercícios práticos
Lesson 2-1 Practice Quiz30min
Lesson 2-2 Practice Quiz30min
Module 2 Graded Quiz30min
3 horas para concluir
Module 3
We will learn about the Binary Outcome model using Logit function. Logistic regression is used when the dependent variable has a binary outcome. We will also review linear regression, which is used when the dependent variable has a continuous outcome.
3 horas para concluir
6 vídeos (Total 47 mín.), 2 leituras, 2 testes
6 videos
Interview with Monica Penagos – Choice Models in Practice2min
Lesson 3-1.1 Binary Outcome Model – Logit Model12min
Lesson 3-1.2 Binary Outcome Model – Logit Model Example 111min
Lesson 3-1.3 Binary Outcome Model – Logit Model Example 27min
Lesson 3-1.4 Introduction to Forecasting: Linear Regression13min
2 leituras
Module 3 Overview20min
Module 3 Readings & Files30min
2 exercícios práticos
Lesson 3-1 Practice Quiz30min
Module 3 Graded Quiz30min
3 horas para concluir
Module 4
We will learn an introduction to text analytics for marketing and how we can use tools, such as the Social Media Macroscope, to find insights about consumer responses within the realm of marketing.
3 horas para concluir
7 vídeos (Total 66 mín.), 2 leituras, 3 testes
7 videos
Lesson 4-1.1 Introduction to Text Summarization8min
Lesson 4-1.2 Introduction to the Social Media Macroscope (SMM)13min
Lesson 4-1.3 N-gram Frequency Count and Phrase Mining17min
Lesson 4-2.1 LDA Topic Modeling12min
Lesson 4-2.2 Machine-Learned Classification and Semantic Topic Tagging11min
Course Summary: Applying Data Analytics in Marketing1min
2 leituras
Module 4 Overview20min
Module 4 Readings & Files30min
3 exercícios práticos
Lesson 4-1 Practice Quiz30min
Lesson 4-2 Practice Quiz30min
Module 4 Graded Quiz30min
Avaliações
Principais avaliações do APPLYING DATA ANALYTICS IN MARKETING
por MY2 de Nov de 2019
it was a perfect course , which gave me the full picture of how to make a marketing testing and evaluation
por KK25 de Ago de 2020
Very informative and nice presentation and interactive sessions.
por YC6 de Jul de 2020
If the peer reviews were done faster it would be better
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