Informações sobre o curso

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Resultados de carreira do aprendiz

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33%

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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.
Aprox. 10 horas para completar
Inglês
Legendas: Inglês, Alemão

Resultados de carreira do aprendiz

50%

comecei uma nova carreira após concluir estes cursos

33%

consegui um benefício significativo de carreira com este curso
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.
Aprox. 10 horas para completar
Inglês
Legendas: Inglês, Alemão

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Universidade Wesleyan

Programa - O que você aprenderá com este curso

Semana
1

Semana 1

4 horas para concluir

Module 1. Identify Your Data and Research Question

4 horas para concluir
5 vídeos (Total 17 mín.), 9 leituras, 1 teste
5 videos
Overview of Each Module and Assignments3min
Your Capstone Project3min
Writing Your Report: Title and Introduction5min
Writing Your Report: What to Avoid2min
9 leituras
Read Me First10min
Industry Partner: DRIVENDATA10min
Industry Partner: The Connection10min
About the Assignments10min
Data Sets and Codebooks10min
Creating a Final Report10min
SAS and python code for sample final report10min
SAS Data Sets10min
Sample Final Report Data Set10min
Semana
2

Semana 2

2 horas para concluir

Module 2. Data Management

2 horas para concluir
1 vídeo (Total 8 mín.)
Semana
3

Semana 3

2 horas para concluir

Module 3. Exploratory Data Analysis

2 horas para concluir
1 vídeo (Total 9 mín.)
Semana
4

Semana 4

2 horas para concluir

Complete Your Final Report

2 horas para concluir
1 vídeo (Total 6 mín.), 1 leitura, 1 teste
1 leituras
Final Assignment Grading Rubric10min

Avaliações

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Sobre Programa de cursos integrados Análise e interpretação de dadosAnálise e Interpretação de Dados

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....
Análise e interpretação de dadosAnálise e Interpretação de Dados

Perguntas Frequentes – FAQ

  • 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 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. 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.

  • 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, 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.

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