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Gestión del análisis de datos(으)로 돌아가기

존스홉킨스대학교의 Gestión del análisis de datos 학습자 리뷰 및 피드백

22개의 평가

강좌 소개

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
필터링 기준:

Gestión del análisis de datos의 5개 리뷰 중 1~5

교육 기관: Matias A

2022년 8월 19일

교육 기관: Luis F G J

2022년 4월 9일

교육 기관: RICARDO A C A

2022년 8월 22일

교육 기관: Jose L L

2022년 4월 6일

교육 기관: Victor Q Q

2022년 8월 23일