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Learner Reviews & Feedback for Framework for Data Collection and Analysis by University of Maryland, College Park

4.2
stars
729 ratings

About the Course

This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With the help of various examples you will learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. Furthermore this course will provide you with a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also help you to identify errors associated with different data sources. You will learn some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source. Finally we will introduce different large scale data collection efforts done by private industry and government agencies, and review the learned concepts through these examples. This course is suitable for beginners as well as those that know about one particular data source, but not others, and are looking for a general framework to evaluate data products....

Top reviews

MM

Mar 6, 2018

Very clear and organised structure

Clear examples to support learning objectives

Attractive use of voice

One point for improvement: Do not film while the lecturer is still refinding breath

TJ

Oct 30, 2020

Useful to build basic knowledge which helps you choosing a better mode and linking the objectives of research with the tools (how).

Thanks to the instructor and Coursera.

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126 - 150 of 166 Reviews for Framework for Data Collection and Analysis

By Anya V

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Jan 15, 2018

The materials are solid and well organized, however the instructor is extremely poor - speaks in round about and confusing way, misspeaks, yawns throughout the presentation, makes random emphasis and pauses throughout substances that are annoying and distracting and pull away attention from the substance. These videos need to be re-recorded, with a more effective instructor.

By Andrew A

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Jun 28, 2018

While the videos are a bit boring and the quiz questions could test a deeper understanding of the referenced material, the subject matter coverage is very good and draws on salient debates that show tradeoffs between surveys and big data. The literature provided was helpful and accessible.

By Courtney M

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Dec 15, 2017

It was ok. everyone has different tastes for lectures but I found her speech hard to follow. I probably wont continue. Also, I did not realize how it was really going to be all about surveys. Not what I was looking for. You can have data collection and analysis without surveys.

By Devin G

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Jul 7, 2017

It was a good overview of the subject, but now I am eager to learn more about survey design and analysis details. I don't anticipate working much with big data or administrative data, so those sections of the course were interesting, but not particularly pertinent to me.

By Nevila M

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Apr 22, 2018

The course teaching method was boring with low inappropriate tones and lack of enthusiasm. The attender could have the feeling the instructor was obliged to have the speaking and not to teach the content! (The instructor continuous swallowing were very disturbing)

By Cristina C

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Feb 19, 2020

It is the first time i give a low review to a Coursera course. I felt it was hard to follow the structure of the course. Quizzes questions were also hard to understand. I think it can be improved with much clearer instructions.

By Muhammad H

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Jun 8, 2017

The content is rather introductory, but for new comers, it is a little challenging trying to remember most of the different survey approaches adopted for the different surveys used in US.

By Eyad A K

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May 4, 2018

I have learned a lot of new and interesting things from this course. The content of the course however lacks practical and simple examples that are easily understandable by everyone.

By Suzanne M O

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Oct 16, 2019

Very basic overview. A nice course to set up the rest of the courses in this specialization on Survey Design and Analysis.

By AMINA I

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Jul 17, 2019

Most interesting aspect is the Quality Perspective : It provides a pictorial view of measurement and representation.

By Tony, O L H

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Dec 24, 2017

Quite a dry topic to listen through, but good coverage on formula, total error framework & global survey examples.

By Sue W Y

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Dec 21, 2019

Content is different from what I expected. In the Course title perhaps should have emphasize that the Course

By David D

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May 17, 2020

I enjoyed the MOOC very much but it somehow did not provide clear enough definitions of key concepts

By Edema O

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Jun 11, 2017

Many questions in the quizzes could have been framed better. Some were confusing in their wording.

By Vikki C

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Oct 28, 2022

The videos' audio was very quiet, which made it difficult to understand the professor.

By Camila B

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May 28, 2017

I think the videos could be more dynamic, however, the course is very structured.

By Kathleen j D

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Apr 5, 2018

It was average, good to get a summary before diving into more in depth classes

By Valentina G

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Sep 28, 2019

Maybe too much content. Not really didactic, a bit boring.

By Angel L

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Mar 20, 2021

it's a bit hard to follow with so many statistical terms

By Madhusudanan S

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May 10, 2016

Gives a basic overview of data collection processes.

By Solomon L

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Apr 18, 2019

The instructor is not audible enough.

By Saifur R

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Jun 9, 2020

I did not find it very interesting

By Debaswini D

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Feb 3, 2022

Quizzes are poorly set.

By Monica N A

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Dec 22, 2020

the materials in this course in week 1, 2, and 3 were useful, however, week 4 was not interesting for me and the examples of the surveys shouldn't be tested in the Quiz (Why do we need to memorize every survey's characteristics?)

Also, the instructor was very slow, that i had to speed up the video to 1.50 - her tone of voice and presentation skills are very poor.

By Matt H

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Jun 29, 2020

The journal articles are boring and difficult to follow due to the scant instruction and background given in the lectures. I would certainly prefer more grounding in the basics via text book chapters or more detailed lecture instruction. The journal articles are only meaningful once a stronger foundation of basics has been established.