Chevron Left
Вернуться к количественные методы

Отзывы учащихся о курсе количественные методы от партнера Амстердамский университет

Оценки: 2,049
Рецензии: 707

О курсе

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....

Лучшие рецензии


4 янв. 2018 г.

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.


15 нояб. 2020 г.

Excellent course! Well narrated, even entertaining, VERY well structured, with supporting material, and a great mix of theory and examples or discussions. Perhaps the best MOOC I've ever encountered.

Фильтр по:

326–350 из 714 отзывов о курсе количественные методы

автор: Vicente A A A

4 сент. 2016 г.

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

автор: Jon H

4 янв. 2016 г.

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

автор: Victoria N

10 июня 2020 г.

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

автор: Anna K

1 мая 2020 г.

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

автор: shweta

31 мар. 2020 г.

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

автор: WEN J

24 апр. 2016 г.


автор: Maria C

28 февр. 2019 г.

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

автор: HS

1 мар. 2022 г.

The instructor is great and very enthusiastic, great presentations and videos.

автор: Yadnesh K

17 июля 2021 г.

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

автор: A L G

11 июня 2020 г.

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

автор: Mohamed F

12 февр. 2017 г.

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

автор: Mirana F R

15 янв. 2017 г.

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

автор: Ernest M M

10 янв. 2018 г.

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

автор: Craig S

9 дек. 2020 г.

Great teaching and it's a good way to grasp the information at your own pace

автор: Julija K

8 июля 2019 г.

Challenging and interesting course. Especially liked the peer review tool.

автор: Saud A K

3 авг. 2018 г.

Comprehensive and challenging. Designed in a fun way for serious learning!

автор: Asdoost

11 янв. 2018 г.

Among all the MOOCs around the internet this course is one of my favorite.

автор: Maya S

13 авг. 2016 г.

Excellent course! I particularly enjoyed the clarity an concrete examples.

автор: Axel K

17 мая 2016 г.

Very comprehensive, well-designed, and well-explained. Highly recommended.

автор: Viraiyan

5 янв. 2016 г.

Excellent explanation and assessment methods. Dr Scholten is simply great.

автор: kathryn

1 янв. 2016 г.

Excellent course. Hard work, but well taught, engaging and I learnt lots.

автор: Anne-Sophie S

11 янв. 2021 г.

very clear explanations, good organisation. I really enjoyed the course!

автор: Naveena R

21 июня 2020 г.

I Gained more knowledge from these course. It is very innovative course.

автор: Juliana M

8 окт. 2018 г.

Amazing course! The content is complete and the teacher is really great.

автор: Jiajing G

2 июля 2018 г.

Really nice course for anyone who just wants to start academic research.