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

3,152 calificaciones
445 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

28 de feb. de 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.

22 de nov. de 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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426 - 441 de 441 revisiones para Managing Data Analysis

por Boris L

5 de oct. de 2015

Not much substance to take from this.

por Daniel D

27 de sep. de 2019

Many very useful information.

por Weihua W

18 de ene. de 2016

Too abstract, too expensive.

por Mohamed T K

26 de jun. de 2020

Good,but boring slightly

por Tristan C

16 de may. de 2020

Ok but a bit light.


17 de sep. de 2017


por Andre R

28 de nov. de 2016

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

por Marcelo H G

14 de jul. de 2017

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

por Robert J

20 de nov. de 2016

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

por Shafeeq I

8 de ene. de 2019

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

por 蒋臻

15 de mar. de 2018

Not so helpful.

por Hannah W

15 de jun. de 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

8 de dic. de 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

7 de sep. de 2020

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

por Himanshu P

27 de nov. de 2017

trite concepts. academic crap.

por Seyyed M A D

19 de abr. de 2018