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.
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Managing Data Analysis
This course is part of Executive Data Science Specialization
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Instructors: Jeff Leek, PhD
70,337 already enrolled
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What you'll learn
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
Skills you'll gain
Details to know
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7 assignments
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There is 1 module in this course
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!
What's included
19 videos17 readings7 assignments
Instructors
![Jeff Leek, PhD](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-instructor-photos.s3.amazonaws.com/2c/3ea105f46d1fe369e934014608ac4d/jeff-1.jpg?auto=format%2Ccompress&dpr=1&w=75&h=75&fit=crop)
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Learner reviews
3,338 reviews
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Reviewed on Jan 11, 2018
This felt a lot more detailed that the previous courses (which was great!) and I feel like I've genuinely learned some stuff (the six type of questions) that I can use!
Reviewed on Nov 22, 2016
The course is full of the cases and the real life examples coupled with the theory background. Its very simple to understand and the course will definitely be of an value for people looking for
Reviewed on Sep 3, 2017
One of the best courses I've taken. The instructor presented a clear approach and variety of suggestions for improving the consistency and quality of data science projects. Very useful!
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