Learner Reviews & Feedback for Quantitative Methods by University of Amsterdam

I love that the videos have little drawings and notes in them to help the concepts stick! The teaching for this course is exceptional!

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.

Great course!!!

This is course was put together very well. It is delivered in a manner that is easy to understand despite the technical nature of many of the concepts. I am glad i took this course and highly recommend it to anyone seeking to improve their knowledge of Quantitative Methods

Very good groundwork

It is an excellent course. The graphics, explanation, and examples are quite exceptional. Congrats

Useful information presented in a step-by-step, easy to follow way. I stayed motivated throughout the course and was pleased with the content. Moreover, the additional interviews after each week extended the material from the virtual classroom to the real world of scientific research. This course is a solid introduction to Quantitative Methods. I plan to continue and finish the entire Specialization.

I like to admit that I am a better person and am becoming a better manager in the process of taking this course.

Great course, taught by very passionate lecturers who know their stuff.

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

Thank you

very good. really helps me out.

Nicely designed course. Peer review system is good. I learned good amount of knowledge about research methodology which I could not fully get in the university.

It was an exciting experience to be the part of this. It enhanced my way of understanding the concepts, with excellent examples and practical learning.

Extra ordinary course delivery, content, and research training.

so educating and fascinating. It has really expanded my intellectual horizons and research venn diagram into more circles.

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

Very good introduction!

I learned a great deal from this course - the professor is clear, well organized, and thorough. I would have appreciated an additional session early on about how to review a research article--especially looking at many of the elements that were requested in the assignments--to help students feel more prepared to actually perform the assignments. Being asked to review research articles toward the beginning of the course (lesson 3) felt a bit like being thrown into the deep end before learning to swim. Personally, I instantly felt "out of my depth" and seriously questioned whether I "belonged" in the course or should drop out. But I am glad that I did continue, and hope that others will too, as it is a well-taught, valuable course. Thank you for presenting it.

I am in my second year of teaching high school students about research and this course is essential in establishing a foundational knowledge of how good research is done.

Very helpful courses.

This course is excellent! I found the content of very high quality, the lecture videos are very clear and easy to understand. What I find remarkable however, is the quality of the exams and assignments! The staff have put in a lot of effort in creating questions and assignments which really test your understanding and knowledge with a clever marking system which always works out to give you a fair mark even when the assignments are peer reviewed. Well done to Anne-Marie and the other staff who put together this course :)

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

Great introduction into methodology and statistics in social sciences

All concepts have been presented very clearly with adequate examples.

It is a brilliant course explaining each aspect of quantitative research methods. The course covers all the major topics used in Psychological Research. It has helped me to understand and apply variety of concepts like research design, measurement and sampling.