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Managing Data Analysis(으)로 돌아가기

존스홉킨스대학교의 Managing Data Analysis 학습자 리뷰 및 피드백

3,121개의 평가
439개의 리뷰

강좌 소개

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
Helpful quizzes
(3개의 검토)
Well-organized content
(24개의 검토)

최상위 리뷰

2017년 2월 28일

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.

2016년 11월 22일

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

필터링 기준:

Managing Data Analysis의 434개 리뷰 중 326~350

교육 기관: Sarah A M A

2020년 8월 14일

a lot of information, in a short period of time, I think it would be better if they use presentations and graphs and would be more easy to follow

교육 기관: Abhi k

2015년 12월 8일

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!

교육 기관: Siddharth T

2016년 4월 3일

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.

교육 기관: Filipe G

2018년 3월 30일

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

교육 기관: Jason C

2016년 7월 10일

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

교육 기관: Luciano C

2017년 7월 28일

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

교육 기관: Chantelle N M

2015년 12월 25일

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

교육 기관: Aman U A

2020년 9월 3일

the English accent is hard for me to keep the focus on the topic, although all the lectures are informative and helpful.

교육 기관: Daniel C d F

2016년 11월 20일

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

교육 기관: Rafael T

2017년 8월 27일

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


2018년 1월 6일

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

교육 기관: prasanna v

2017년 1월 31일

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

교육 기관: Nina R

2020년 1월 25일

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

교육 기관: Debasish M

2017년 2월 2일

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

교육 기관: Rakesh B

2018년 9월 7일

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


2016년 10월 10일

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

교육 기관: Pranjal S S

2017년 5월 20일

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

교육 기관: Vansh J

2020년 6월 11일

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

교육 기관: Danny K

2017년 12월 8일

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

교육 기관: Ioannis L

2017년 4월 3일

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

교육 기관: Kaoma M M

2016년 3월 15일

Very good and quick lessons on Data analysis.

Managers should appreciate this course!

교육 기관: Anqi Z

2017년 8월 13일

Very practical lecture. Ideal for pre-project preparation and progress control.

교육 기관: Michel G

2019년 1월 6일

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

교육 기관: Ricardo W

2020년 6월 24일

Buen curso, explicito y directo en la parte blanda del manejo de datos.

교육 기관: chenyu L

2015년 11월 30일

very informative in general framework of data analysis, very helpful!