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Framework for Data Collection and Analysis, University of Maryland, College Park

4.1
274 calificaciones
68 revisiones

Acerca de este Curso

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....

Principales revisiones

por MM

Mar 07, 2018

Very clear and organised structure\n\nClear examples to support learning objectives\n\nAttractive use of voice\n\nOne point for improvement: Do not film while the lecturer is still refinding breath

por KM

Oct 05, 2018

The teacher for the course was great. She explained everything very clearly. She also explained what is coming next. Learned a lot. Reading materials were overwhelming.

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67 revisiones

por Yusuf Tokdemir

Nov 20, 2018

This course is valuable to learn how to perform data collection, analysis and surveys. The topics are good. The contents can be revised again to easily understand.

por Dr. Essien

Nov 07, 2018

This module provides an excellent framework and introduction to the subject.

por kaliappan.s

Nov 04, 2018

informative course for beginners

por Hong Ik Choi

Oct 10, 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.

por Siyad Abdi Elmoge

Oct 05, 2018

Very interesting Course for data collection and analysis!

por Kyoko Mona

Oct 05, 2018

The teacher for the course was great. She explained everything very clearly. She also explained what is coming next. Learned a lot. Reading materials were overwhelming.

por Mónica Eugenia Figueroa Cabañas

Sep 03, 2018

This course give sufficient background information to start working on other courses and text about surveys.

por Simon Blower

Jul 01, 2018

A lot of useful and interesting content!The quiz questions are sometimes poorly worded - missing words, bad grammar, sometimes illogical. The switching between video and slides is off-putting for me, especially if you are trying to take notes. Can the screen not be split? What do other coursera courses do?The curtain backdrops seems rather too 'staged'. On the whole - good.

por Andrew Alton

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.

por Iyshia Lowman

Jun 20, 2018

I though it was a good background course, however, I wish initially (in week 1) there was more focus on definitions.