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

703 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


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


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 159 Reviews for Framework for Data Collection and Analysis

By Suzanne M O

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.


Jul 17, 2019

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

By Tony, O L H

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

Dec 21, 2019

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

By David D

May 17, 2020

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

By Edema O

Jun 11, 2017

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

By Vikki C

Oct 28, 2022

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

By Camila B

May 28, 2017

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

By Kathleen j D

Apr 5, 2018

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

By Valentina G

Sep 28, 2019

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

By Angel L

Mar 20, 2021

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

By Madhusudanan S

May 10, 2016

Gives a basic overview of data collection processes.

By Solomon L

Apr 18, 2019

The instructor is not audible enough.

By Saifur R

Jun 9, 2020

I did not find it very interesting

By Debaswini D

Feb 3, 2022

Quizzes are poorly set.

By Monica N A

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

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.

By Md. N H

Sep 1, 2019

The instructions were so slow and the delivery was nothing like continuous. It was difficult to keep track of the lecture and keep listening. I had a hard time listening through the lectures and complete it.

By Roger

Jul 1, 2020

The curriculum focus to much on survey and provides to little information of existing sources e.g. OECD, World Bank, etc. Additionally, it felt like a 4 week promotion for the indepth courses.

By Laxdip P

Oct 28, 2016

The course content was good but teaching method was too poor to understand. First time little disappointment by

By Joana P

Sep 15, 2022

I found the questions of the assignemnets not very challenging.

By Pieter v d H

Feb 20, 2020

Content OK, didactics poor.

By sana k

Jan 19, 2018

Couldn't stay interested

By Hong I C

Oct 9, 2018

Although I'm willing to sit through the entire specialization (the rest of the courses are taught by different professors), I am confident to argue that the first course was terrible.

The sloppiness of the presentation and course structure ruined most of the modules covered in the course, except for the first one. The rest needs some retouching and reconfiguring. Overall, the course was like listening to mumbo-jumbo and listing of a bunch of loosely-related materials.

The instructor needs to be the cohesive force that unites the scattered information. Otherwise, none of the contents stick in the learner's memory.

Besides, the tests were horrible. Didn't really test on any useful information. It was a test for the sake of testing.

By Morgan S

Mar 3, 2017

This course is extremely hard to follow, not because of the content but because of the delivery. Presentation, "visuals", word choice, speed, all very poor. I'm in week 3 and EVERY video has been just as difficult to follow.

Quizzes are hard to understand and ask you about things that weren't of any actual value to the course, and/or weren't even covered. Also, because multiple answers are required for each question, you are basically answering a 4 part question that is only worth 1 point. Get one part wrong and you miss the whole 1 point.