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.
Managing Data Analysis
Managing Data Analysis
This course is part of Executive Data Science Specialization
Instructors: Jeff Leek, PhD
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Gain insight into a topic and learn the fundamentals.
4.6
(3,333 reviews)
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
95%
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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
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Assessments
7 assignments
Taught in English
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This course is part of the Executive Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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
Instructor ratings
4.6 (281 ratings)Offered by
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Johns Hopkins University
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4.6
3,333 reviews
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ST
5
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
MM
5
Reviewed on Jan 20, 2017
Overall, the course is well structured. The topics covered are very significant in my day to day operations. I can apply everything I learnt from this course with greater understandability.
EL
5
Reviewed on Feb 28, 2017
A long course compared to others in the specialization, but a lot of great material. Very well presented, the instructors know how to present this material and make it easy to grasp and understand.
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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