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Opiniones y comentarios de aprendices correspondientes a Managing Data Analysis por parte de Universidad Johns Hopkins

2,878 calificaciones
403 reseña

Acerca del Curso

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
Aspectos destacados
Helpful quizzes
(3 reseñas)
Well-organized content
(24 reseñas)

Principales reseñas


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.


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

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376 - 399 de 399 revisiones para Managing Data Analysis

por Julian P

May 18, 2020

too much time between the videos and the related questions to the videos

por Suzen C

Oct 20, 2015

Lecture component not as concise or well edited as expected.

por Enzo D

Apr 09, 2020

The course is good, but too general and a little boring :(

por Sebastian C

Jul 02, 2019

The videos are to long, but the content is great.

por Marc B

Sep 17, 2016

Lot of talking, lack of visual, templates, etc.

por Ruchit G

Apr 12, 2018

More case study to relate will be very useful

por JFW

Jul 13, 2016

Concise overview. Worthwhile introduction.

por Deepak G

Jun 28, 2016

Very short. Quality of the course is OK.

por Boris L

Oct 05, 2015

Not much substance to take from this.

por Daniel R D

Sep 28, 2019

Many very useful information.

por Weihua W

Jan 19, 2016

Too abstract, too expensive.

por Mohamed T K

Jun 26, 2020

Good,but boring slightly

por Tristan C

May 16, 2020

Ok but a bit light.


Sep 17, 2017


por Andre R

Nov 28, 2016

Not as I expected. More readings than practices/exercises. Seems more target on traditional statistics than machine learning.

por Marcelo H G

Jul 15, 2017

MIssing real management stuff. Where is project management knowledge? It is superficial in management side, really.

por Robert J

Nov 20, 2016

There's room for improvement, aspects are unnecessarily convoluted.

por Shafeeq S

Jan 08, 2019

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

por 蒋臻

Mar 15, 2018

Not so helpful.

por Hannah W

Jun 15, 2016

This class was not useful for me. The professor talked about the idea of data analysis without ever discussing how to actually perform data analysis.

por Kunal T

Dec 08, 2015

Good course but not good from coursera to not give honor certificate like it used to give.

edx still gives..very disappointed with coursera.

por Doron P

Sep 07, 2020

the instructor was unclear, talks fast, and much of what he says in not included in the course resources

por Himanshu P

Nov 27, 2017

trite concepts. academic crap.

por Seyyed M A D

Apr 19, 2018