Gestión del análisis de datos

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