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Johns Hopkins University

Managing Data Analysis

Johns Hopkins University via 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…. 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


  • Managing Data Analysis
    • Welcome to Managing Data Analysis! This course is one module, intended to be taken in one week. The course works best if you follow along with the material in the order it is presented. Each lecture consists of videos and reading materials that expand on the lecture. I'm excited to have you in the class and look forward to your contributions to the learning community. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started, and I hope you enjoy the course!

Taught by

Jeff Leek, Brian Caffo and Roger Peng


2.7 rating, based on 9 Class Central reviews

4.6 rating at Coursera based on 3306 ratings

Start your review of Managing Data Analysis

  • Managing Data Analysis is the third course in “Executive Data Science” specialization offered by John Hopkins University on Coursera. The one-week course discusses the process of data analysis at a high level from formulating questions to explorator…
  • I don't understand bad reviews. This course is not technical. It's focused on methodology and correct approach to data analysis. I know a lot of people, who knows the tools and packages, but don't know how to ask correct questions, how to take value from the data and how to avoid common pitfalls of data science. I believe this course is really valuable for everyone working with data.
    The course is based on "The Art of Data Science" book, which I also recommend.
  • I find this course a nice overview of not only data management for data science purposes, but for research in general.
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    Alex Ivanov

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