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

4.6
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2,634 calificaciones
355 revisiones

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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 https://flic.kr/p/4HjmvD...
Aspectos destacados
Helpful quizzes
(3 revisiones)
Well-organized content
(24 revisiones)

Principales revisiones

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.

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

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251 - 275 de 351 revisiones para Managing Data Analysis

por Kevin C

Oct 31, 2017

Well defined strategies for getting a handle on the data analysis process. Short and concise class that hit on relevant points required to be successful in this area.

por George K

Sep 16, 2017

sometime it was not easy to understand the lecturer. also, it would be good to try some things out versus reading the expamples. other than that - a great course!

por Bernard D V

Mar 19, 2020

A great course with a lot of information. However, the course might be more concise sometimes due to the complexity of the information brought by the instructor.

por Scott K

Oct 11, 2015

Good course for the fundamentals of making sure data analysis is done correctly. These are good things to keep in mind when you are managing a data science team.

por Kian G L

Aug 12, 2016

Comprehensive overview to understand activities involved in the iterations and epicycles of Data Analysis and to manage it with correct expectation.

por Victor D R L

Apr 24, 2020

It is a very good course but challenging, I had to make a lot of notes to understand the concepts and follow the lectures. It is a good investment.

por Deleted A

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.

por Abhi k

Dec 08, 2015

If you can make the assignments nearer to the real world scenario and a little more detailed explanations for some parts, it would be great!

por Siddharth T

Apr 03, 2016

The content is covered in great depth in this course but pre-reads may help as the course moves up a few notches in technical content.

por Filipe G

Mar 30, 2018

Useful overview of considerations when managing data analytics work. A bit superficial, but still a useful reminder of the basics.

por Jason C

Jul 10, 2016

I would have preferred that the course and/or accompanying textbook contain examples of templates used to manage data analysis.

por Luciano C

Jul 28, 2017

great course. i just thin there should be more real examples to help us to understand (for exemple types of questions), etc

por Chantelle N M

Dec 25, 2015

Teaches how to think about a problem more than the specific tools that can be used to solve them. Good practical examples.

por Daniel C d F

Nov 20, 2016

Great course overall. Should only explain better a few related concepts such as the p-value and confidence interval.

por Rafael T

Aug 28, 2017

Course material is fantastic. However, materials could be better presented so that the videos are easier to follow.

por ABDALRAHIM A

Jan 06, 2018

Super and Really very Technical. It is One of the most important with this Specialization. I give the effect 87%

por prasanna v

Feb 01, 2017

EDA approach and steps to analyse is excellently taught. The formal modelling take the course to a lot of depth.

por Nina R

Jan 25, 2020

It is hard to manage the presentation. There is no option to replay and you cant go back if you missed a term.

por Debasish M

Feb 02, 2017

Data Analysis and the technicalities of getting to the right results and presenting them in a meaningful way

por Rakesh B

Sep 07, 2018

The videos can be made a little bit more interesting to viewers like with more visual examples or graphics

por TCHUENTE D

Oct 10, 2016

good course to understand keys questions and methodology to manage each step of data analysis process

por Pranjal S S

May 20, 2017

Great course for a beginner!. Love the method of teaching and illustration by Robert Peng

por Vansh J

Jun 11, 2020

Its a really good course, the tutor has explained it very well and it is really helpful

por Danny K

Dec 09, 2017

It's really worthy to take this course. But it seems the materials quite overwhelming

por Ioannis L

Apr 03, 2017

Some of the videos were a bit fast (too much content), but a very interesting course.