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Вернуться к Managing Data Analysis

Отзывы учащихся о курсе Managing Data Analysis от партнера Университет Джонса Хопкинса

4.6
звезд
Оценки: 2,482
Рецензии: 332

О курсе

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...
Основные моменты
Helpful quizzes
(рецензий: 3)
Well-organized content
(рецензий: 24)

Лучшие рецензии

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

Фильтр по:

301–325 из 327 отзывов о курсе Managing Data Analysis

автор: Kamil P

Nov 16, 2016

It is quite general, I liked the examples, although there could be more varied examples from many other dissimilar disciplines.

автор: Joe Y

Jun 03, 2018

The questions can get a little too wordy. Find the questions difficult to follow after reading the entire length.

автор: Jose C O B

Aug 07, 2016

I think these courses need to be condensed into a single one as the contents are rather limited individually.

автор: Alex F

Jan 30, 2018

Good baseline - might be hard to follow for someone who has not been working the DS Specialization

автор: Sona L

Oct 20, 2015

Too theoretical for my needs but gives a good background to how to approach analytics.

автор: Julian P

May 18, 2020

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

автор: Suzen C

Oct 20, 2015

Lecture component not as concise or well edited as expected.

автор: Vincenzo P

Apr 09, 2020

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

автор: Sebastian C

Jul 02, 2019

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

автор: Marc B

Sep 17, 2016

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

автор: Ruchit G

Apr 12, 2018

More case study to relate will be very useful

автор: JFW

Jul 13, 2016

Concise overview. Worthwhile introduction.

автор: Deepak G

Jun 28, 2016

Very short. Quality of the course is OK.

автор: Boris L

Oct 05, 2015

Not much substance to take from this.

автор: Daniel R D

Sep 28, 2019

Many very useful information.

автор: Weihua W

Jan 19, 2016

Too abstract, too expensive.

автор: Tristan C

May 16, 2020

Ok but a bit light.

автор: TCSONG

Sep 17, 2017

不推荐没有实际经验的人学

автор: Andre R

Nov 28, 2016

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

автор: Marcelo H G

Jul 15, 2017

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

автор: Robert J

Nov 20, 2016

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

автор: Shafeeq S

Jan 08, 2019

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

автор: 蒋臻

Mar 15, 2018

Not so helpful.

автор: 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.

автор: 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.