What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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Instructors: Roger D. Peng, PhD
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Differentiate between various types of data pulls
Describe the basic data analysis iteration
Explore datasets to determine if data is appropriate for a project
Use statistical findings to create convincing data analysis presentations
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This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results.
This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know how to…. 1. Describe the basic data analysis iteration 2. Identify different types of questions and translate them to specific datasets 3. Describe different types of data pulls 4. Explore datasets to determine if data are appropriate for a given question 5. Direct model building efforts in common data analyses 6. Interpret the results from common data analyses 7. Integrate statistical findings to form coherent data analysis presentations Commitment: 1 week of study, 4-6 hours Course cover image by fdecomite. Creative Commons BY https://flic.kr/p/4HjmvD
¡Te damos la bienvenida a Gestión del análisis de datos! Este curso consiste en un módulo diseñado para realizarse en una semana. El curso funciona mejor si avanzas con el material en el orden en el que se presenta. Cada clase cuenta con videos y material de lectura que aportan información adicional a la clase. Me entusiasma tenerte en la clase y espero recibir tus contribuciones para la comunidad de estudiantes. Si tienes preguntas sobre el contenido del curso, publícalas en el foro para obtener ayuda de otras personas de la comunidad del curso. Si tienes problemas técnicos con la plataforma de Coursera, visita el Centro de ayuda para estudiantes. ¡Buena suerte en el inicio del curso y espero que lo disfrutes!
19 videos17 readings7 assignments
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Universidad de los Andes
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Johns Hopkins University
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Pontificia Universidad Católica del Perú
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Universidad de los Andes
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85 reviews
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Reviewed on Apr 10, 2024
Está muy detallado, es muy interesante y sobre todo deja claro el tema, la verdad fue por una materia pero me agradó
Reviewed on May 24, 2023
muy completo en cuento al tema de como llevar a cabo una investigación y la interpretación de datos que sean utiles
Reviewed on Feb 7, 2023
Ha sido muy enriquecedor el contenido, aliento a las y los interesados en apuntarse al mismo.
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