Acerca de este Curso
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Aprox. 12 horas para completar

Sugerido: 3 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

Data AnalysisPython ProgrammingMachine LearningExploratory Data Analysis

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 12 horas para completar

Sugerido: 3 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Los estudiantes que toman este Course son

  • Machine Learning Engineers
  • Data Analysts
  • Data Scientists
  • Scientists
  • Business Developers

Programa - Qué aprenderás en este curso

Semana
1
5 horas para completar

Decision Trees

7 videos (Total 40 minutos), 15 lecturas, 1 cuestionario
7 videos
Machine Learning and the Bias Variance Trade-Off6m
What Is a Decision Tree?5m
What is the Process of Growing a Decision Tree?4m
Building a Decision Tree with SAS9m
Strengths and Weaknesses of Decision Trees in SAS4m
Building a Decision Tree with Python9m
15 lecturas
Some Guidance for Learners New to the Specialization10m
SAS or Python - Which to Choose?10m
Getting Started with SAS10m
Getting Started with Python10m
Course Codebooks10m
Course Data Sets10m
Uploading Your Own Data to SAS10m
Data Set for Decision Tree Videos (tree_addhealth.csv)10m
SAS Code: Decision Trees10m
CART Paper - Prevention Science10m
Python Code: Decision Trees10m
Installing Graphviz and pydotplus10m
Getting Set up for Assignments10m
Tumblr Instructions10m
Assignment Example10m
Semana
2
3 horas para completar

Random Forests

4 videos (Total 25 minutos), 4 lecturas, 1 cuestionario
4 videos
Building a Random Forest with SAS7m
Building a Random Forest with Python6m
Validation and Cross-Validation7m
4 lecturas
SAS code: Random Forests10m
The HPForest Procedure in SAS10m
Python Code: Random Forests10m
Assignment Example10m
Semana
3
3 horas para completar

Lasso Regression

5 videos (Total 32 minutos), 3 lecturas, 1 cuestionario
5 videos
Testing a Lasso Regression with SAS10m
Data Management for Lasso Regression in Python3m
Testing a Lasso Regression Model in Python10m
Lasso Regression Limitations2m
3 lecturas
SAS Code: Lasso Regression10m
Python Code: Lasso Regression10m
Assignment Example10m
Semana
4
3 horas para completar

K-Means Cluster Analysis

6 videos (Total 42 minutos), 3 lecturas, 1 cuestionario
6 videos
Running a k-Means Cluster Analysis in SAS, pt. 18m
Running a k-Means Cluster Analysis in SAS, pt. 26m
Running a k-Means Cluster Analysis in Python, pt. 18m
Running a k-Means Cluster Analysis in Python, pt. 210m
k-Means Cluster Analysis Limitations2m
3 lecturas
SAS Code: k-Means Cluster Analysis10m
Python Code: k-Means Cluster Analysis10m
Assignment Example10m
4.2
50 revisionesChevron Right

29%

comenzó una nueva carrera después de completar estos cursos

36%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

17%

consiguió un aumento de sueldo o ascenso

Principales revisiones sobre Machine Learning for Data Analysis

por BCOct 5th 2016

Very good course. I recommend to anyone who's interested in data analysis and machine learning.

por EMJun 26th 2016

Good introduction with python example for famous algorithm such as random forest and k-mean

Instructores

Avatar

Jen Rose

Research Professor
Psychology
Avatar

Lisa Dierker

Professor
Psychology

Acerca de Universidad Wesleyana

At Wesleyan, distinguished scholar-teachers work closely with students, taking advantage of fluidity among disciplines to explore the world with a variety of tools. The university seeks to build a diverse, energetic community of students, faculty, and staff who think critically and creatively and who value independence of mind and generosity of spirit. ...

Acerca de Programa especializado Data Analysis and Interpretation

Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions....
Data Analysis and Interpretation

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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