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Managing Data Analysis, Université Johns-Hopkins

1,976 notes
261 avis

À propos de ce cours

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
Points forts
Well-organized content
(24 avis)
Helpful quizzes
(3 avis)

Meilleurs avis

par EL

Mar 01, 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.

par ST

Nov 23, 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

Filtrer par :

258 avis

par Sarah Choe

Feb 20, 2019

While it was good, a lot of overlapping information and I wish it had more specific examples (rather than theoretical) in public health standpoint.

par Ajayi Imoleayomide Mercy

Feb 10, 2019



Jan 18, 2019

Very well conceived course and excellently delivered...clear and concise

par Alzum Shahadat Miazee

Jan 13, 2019

An awesome course completed

par Shafeeq Shas

Jan 08, 2019

Not much to learn from this course. too much verbose.

par Michel Guillet

Jan 06, 2019

Would be great to have a little more time on how to interpret the charts.


Dec 26, 2018

I really liked the course structure

par Md. Rezaul Karim

Dec 21, 2018

A bit clumsy at inference chapter.

par Elton Koh

Dec 14, 2018

Interesting for a Non-Data Science Executive despite some minor spelling errors in video transcripts.

par Kim Kirkpatrick Rigg

Dec 07, 2018