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Kursteilnehmer-Bewertung und -Feedback für Quantitative Methods von Universität von Amsterdam

4.7
Sterne
1,884 Bewertungen
667 Bewertungen

Über den Kurs

Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research! This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course on quantitative research methods in the social sciences, but has a strong focus on research integrity. We will use examples from sociology, political sciences, educational sciences, communication sciences and psychology....

Top-Bewertungen

LG
4. Jan. 2018

This course was excellent in all aspects, including the interesting and extensive material, as well as Dr. Annemarie Zand Scholten's brilliant lectures that help students digest and enjoy the content.

AL
7. Mai 2018

It is well-structured and informative. The pop up questions are interactive and the animation is fun. I have learned a lot from the video instruction, recommended readings, and assignments. Thanks.

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301 - 325 von 664 Bewertungen für Quantitative Methods

von Jeanson-Jian W G L

13. Nov. 2017

Excellent course that disseminated information in easily understandable, digestable manner

von Jules

28. Okt. 2015

One of the best online courses I have ever taken. I cannot recommend it enough. Well done!

von Wilkinson M

1. Dez. 2016

I love how clear the information is, and the instructor's enthusiasm keeps me interested.

von Fabio C

28. Sep. 2020

Incredibly thorough and well-structured, considering the limitations of online settings

von Yashfeen Z

24. Aug. 2020

Very good course! I'd be soon proceeding towards the 2nd course in this specialization.

von Abdelatif M

10. Feb. 2018

very informative, liked the drawings idea. it makes abstract concepts easier to digest

von Adina B

5. Feb. 2017

I've only just started the statistics course but am enjoying it tremendously.

Thank you

von Nguyen T T

14. Feb. 2016

Very introductory course. I learnt a lot from it. Will continue other courses as well.

von RICHARD D

11. Juli 2019

This is one if the Best Course. Short and on point topics and syllabus. Thank to you.

von Sandeep K

24. Juli 2017

Its a nice course and provide me good understanding of Quantitative Research methods!

von kiarash K

4. Mai 2021

Very impressive material design and good lectures, loved it and learnt a lot from it

von Heidi R

5. Nov. 2020

I really liked the course, because information was packed nicely and understandable.

von DEBORA C M

30. Sep. 2020

amei demais!!! a professora é maravilhosa, explica muitíssimo bem! obrigada por tudo

von Vicente A A A

4. Sep. 2016

Great Teachers and information! I cannot believe I can learn so much from my house.

von Jon H

4. Jan. 2016

I am loving this class. The videos are succinct and packed with great information!

von Victoria N

10. Juni 2020

Very well-organised course that has giving me lots of new and useful information.

von Anna K

1. Mai 2020

A great course! Organized wisely, great materials and intelligent assignments : )

von shweta

31. März 2020

nice course content and lectures are made fully understandable by the professor.

von WEN J

24. Apr. 2016

非常赞的研究方法课程。最大的优点是可以把所有的英文稿件下载下来,这样即使英文不是太好的同学可以看完视频再多看几遍稿件,就能很好地掌握,而且这个课程还有中文字幕。

von Μαρία Χ

28. Feb. 2019

Really well-structured, helpful and important as knowlegde. Highly recommended!

von Yadnesh K

17. Juli 2021

Useful and interesting course. Thank You Coursera and team and my facilitator.

von A L G

11. Juni 2020

It was an amazing experience, I have learnt a lot about quantitative research.

von Mohamed F

12. Feb. 2017

It requires commitments. But is a must for any researcher or a data scientist.

von Mirana F R

15. Jan. 2017

Well-structured course! The contents of the course are beyond my expectations.

von Ernest M M

10. Jan. 2018

Great course for anyone interested in thinking like a professional scientist.