Acerca de este Curso

19,520 vistas recientes
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 7 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

Qué aprenderás

  • What is data science

  • How data science, machine learning, and data-driven innovation can benefit business outcomes

  • Foundational concepts and intuitions about machine learning techniques

Habilidades que obtendrás

Data ScienceBusiness AnalyticsDecision-MakingData AnalysisBig Data
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 7 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

ofrecido por

Logotipo de EIT Digital

EIT Digital

Logotipo de Politecnico di Milano

Politecnico di Milano

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

1 hora para completar

Introduction to Data-driven Business

1 hora para completar
3 videos (Total 13 minutos), 2 lecturas, 2 cuestionarios
3 videos
Data-driven Decision Making for Data-centric Organizations2m
What's Big Data? How Does It Relate to Data Science?6m
2 lecturas
Data-driven Decision Making for Data-centric Organizations15m
What's Big Data? How Does It Relate to Data Science?15m
2 ejercicios de práctica
Data-driven Decision Making for Data-centric Organizations3m
Big Data and Data Science10m
Semana
2

Semana 2

2 horas para completar

Terminology and Foundational Concepts

2 horas para completar
3 videos (Total 16 minutos), 3 lecturas, 3 cuestionarios
3 videos
Machine Learning9m
Solving Problems: Programming vs. Machine Learning3m
3 lecturas
Success Story: Data Science at Netflix30m
Machine Learning slides20m
Solving Problems: Programming vs. Machine Learning10m
3 ejercicios de práctica
Success Story: Data Science at Netflix5m
Machine Learning20m
Solving Problems: Programming vs. Machine Learning30m
Semana
3

Semana 3

3 horas para completar

Data Science Methods for Business

3 horas para completar
5 videos (Total 25 minutos), 5 lecturas, 5 cuestionarios
5 videos
Classification of User-generated Content to Recommend Restaurants2m
Product Recommendation Using Decision Trees and Random Forests2m
Hiring Employees Using Logistic Regression8m
K-means Clustering6m
5 lecturas
Linear Regression for Product Price Prediction10m
Classification User-generated Content to Recommend Restaurants10m
Product Recommendation Using Decision Trees and Random Forests10m
Hiring Employees Using Logistic Regression10m
Using k-means for Clustering10m
5 ejercicios de práctica
Linear Regression30m
Naive Bayes30m
Decision Trees and Random Forests30m
Logistic Regression30m
K-means Clustering6m
Semana
4

Semana 4

1 hora para completar

Challenges and Conclusions

1 hora para completar
2 videos (Total 12 minutos), 1 lectura, 1 cuestionario
2 videos
Conclusions1m
1 lectura
Data Science Challenges20m
1 ejercicio de práctica
Data Science Challenges30m

Revisiones

Principales revisiones sobre DATA SCIENCE FOR BUSINESS INNOVATION

Ver todos los comentarios

Preguntas Frecuentes

  • 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 purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, 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.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. 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. Learn more.

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.