Sobre este Programa de cursos integrados

16,254 visualizações recentes

This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains. You’ll engage in hands-on case studies in real business contexts: examples include predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. The third course and the Capstone Project are designed in partnership with Accenture, one of the world’s best-known consulting, technology services, and outsourcing companies. You’ll learn about applications in a wide variety of sectors, including media, communications, public service,etc. By the end of this specialization, you’ll be able to use statistical techniques in R to develop business intelligence insights, and present them in a compelling way to enable smart and sustainable business decisions. You’ll earn a Specialization Certificate from one of the world’s leading business schools and learn from two of Europe’s leading professors in business analytics and marketing.

Resultados de carreira do aprendiz
33%
Começou uma nova carreira depois de completar o Programa de cursos integrados.
17%
Conseguiu um aumento ou uma promoção.
Certificados compartilháveis
Tenha o certificado após a conclusão
Cursos 100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Cronograma flexível
Definição e manutenção de prazos flexíveis.
Nível avançado
Aprox. 5 meses para completar
2 horas/semana sugeridas
Inglês
Legendas: Inglês, Coreano
Resultados de carreira do aprendiz
33%
Começou uma nova carreira depois de completar o Programa de cursos integrados.
17%
Conseguiu um aumento ou uma promoção.
Certificados compartilháveis
Tenha o certificado após a conclusão
Cursos 100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Cronograma flexível
Definição e manutenção de prazos flexíveis.
Nível avançado
Aprox. 5 meses para completar
2 horas/semana sugeridas
Inglês
Legendas: Inglês, Coreano

Este Programa de cursos integrados contém 4 cursos

Curso1

Curso 1

Fundações da análise estratégica de negócios

4.4
estrelas
529 classificações
123 avaliações
Curso2

Curso 2

Fundações das análises de mercado

4.5
estrelas
590 classificações
160 avaliações
Curso3

Curso 3

Estudos de caso em análise de negócios com a ACCENTURE

3.7
estrelas
166 classificações
59 avaliações
Curso4

Curso 4

Trabalho de conclusão de curso: crie valor a partir de dados abertos

3.9
estrelas
31 classificações
9 avaliações

oferecido por

Logotipo de ESSEC Business School

ESSEC Business School

O logotipo de um dos parceiros do setor

Perguntas Frequentes – FAQ

  • 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! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • 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.

  • 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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 5 months.

  • Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over. The final Capstone Project will be offered 3-4 times per year.

  • This Specialization is designed for graduate students and professional interested in practical applications of business analytics techniques and big data,­ with a good IT and statistical background. You’ll need a strong background in R and analytics to complete the coursework, and some experience with machine learning and SQL will also be useful.

  • We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • You’ll be a fully accomplished expert in big data management, with a robust understanding of how data can be used to leverage strategic value. You’ll be comfortable qualifying research objectives, combining and manipulating data sets, and interpreting them. You’ll be prepared to present your interpretations and value case to potential stakeholders successfully.

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.