Link to Content:

Managing Data Analysis

Created/Published/Taught by:

Coursera

Johns Hopkins University

Jeff Leek

Brian Caffo

Roger D. Peng

Content Found Via:

Coursera

Free? Partially: Some Free Content, Some Paid

Cost Range:

$0.00 - $36.00

Tags: communication / data analysis / exploratory data analysis / inference / interpreting output / statistical modeling / supervised learning

Difficulty Rating:

This course is #3 of 5 in the Executive Data Science Specialization from Johns Hopkins University.

From Coursera:

“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….

- Describe the basic data analysis iteration
- Identify different types of questions and translate them to specific datasets
- Describe different types of data pulls
- Explore datasets to determine if data are appropriate for a given question
- Direct model building efforts in common data analyses
- Interpret the results from common data analyses
- Integrate statistical findings to form coherent data analysis presentations

Commitment: 1 week of study, 4-6 hours”

Recommended Prerequisites: Requires "a basic understanding of how data can be used in an industry, academic, or government environment."

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