Вернуться к Basic Statistics

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Оценки: 3,862

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Рецензии: 978

Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics.
In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression.
The second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work.
The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.
You will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software....

PG

20 апр. 2016 г.

This is a nice course...thanks for providing such a great content from University of Amserdam.\n\nPlease allow us to complete the course as I have to wait till the session starts for week 2 lessions.

DA

28 янв. 2021 г.

great course with good videos and examples. Very good course for learning the basic statistics. Unfortunately the week 3 is the most misunderstanding module, nevertheless very good and understanding

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автор: Juhong P

•22 апр. 2018 г.

I don't have any background of statistics. To me, it is really helpful to understand the basic. Some part of lecture is little bit difficult to understand and i think it needs more time for self study to catch up all the lectures and practice. My most favorite part of the course is that I was able to practice basic R programing.

автор: Liam M

•13 июня 2018 г.

Very engaging and a good level of difficulty. However, the lessons from Emiel were hard to follow because the pace was slow and his voice was soothing me to sleep! Also it would have helped so much to have the exam answers explained at the end once completed because I have no idea where I went wrong on some of the questions!

автор: Gabriela C

•4 мар. 2016 г.

El curso es muy buena calidad académica los temas son fáciles de comprender sin embargo también debió haber vídeos sobre la programación con R para poder tener un poco mas claro estos ejercicios, ademas no debieron cambiar de profesor, ya el el maestro que imparcial los temas intermedios lo hacia de una manera muy compleja.

автор: Dhushyanth L

•5 дек. 2016 г.

The course is quite informative and educative for a non-statistical person like me. The instructors were explaining complex concepts in a very simpler manner. Except that the use of data camp for R could have been replaced with the exercises done on R (offline) and submitted through the quiz. The quizzes were really good.

автор: Kyoko Y

•15 янв. 2020 г.

The explanations in the videos were easy to understand and concise.

I think it would be beneficial to add more in-depth descriptions of the answers you got correct on the quizzes. I might've gotten something correct by 1) doing it right or 2) guessing, and it would be a learning opportunity for those who simply got lucky.

автор: Barbara V

•29 февр. 2016 г.

Overall, a great course that provides the basics of statistics in a thorough and intuitive way, plus a taste and feel of the software R. Of special note are the amazing visualizations in the presentations! There are some typoes and errors in the course material though, which is a shame, as everything else is excellent.

автор: Chia H L

•10 июня 2020 г.

I appreciate that the course has been taught in a simple and fun way. I enjoyed going through the lessons. But there are still many gaps in my understanding as I had little prior knowledge in Statistics. It will be very helpful if more exercises, worked solutions and articles for reading can be provided.

автор: Shailesh N

•2 янв. 2017 г.

The course was great! It was quite dense and took a lot of time especially the R Lab sessions. Mr Loon may like to use more interesting ways for communication. Also the transcripts provided do not contain equations/ formulas which becomes a problem. Integrating slides into transcripts would be helpful.

автор: Diego A M R

•28 мая 2016 г.

I really liked the course, it was relatively easy to understand and enjoyable, and specially the lessons taught by Matthijs, he was just amazing at making it all very understandable and enjoyable. And overall, I just really feel some exercises along the way for each topic would have been of great help.

автор: Cathy H

•2 апр. 2019 г.

This course is mostly great! The vast majority of the materials were at a very high quality and very useful. The quality dropped in a couple of the weeks. It would be great if there was more of a moderator/course designer presence in the forums. It feels like learner questions often went unanswered.

автор: Connie H

•25 апр. 2020 г.

Week 3 was particularly badly explained. The pace was too fast, examples were not lively, formulas were read with little inference or explanation. Apart from Week 3 the rest range from comfortable to nicely challenging. Enjoyed the illustrations particularly, thanks for making statistics enjoyable.

автор: AKSHAY M

•13 июня 2020 г.

This was my first online course.Most of the basic statistics topics are covered in this course.I gain lot of knowledge from this course. The instructor were quite friendly. Finally I gain certificate after 8 weeks.

So those who to start statistics course this is the best for beginner.

автор: Frank P

•10 мар. 2016 г.

Despite some error in the quizzes I learned quite a lot by taking this online course. Apparently the course organisers are overwhelmed by its success, since they react (too) slowly to comments made by students in the discussion fora. At least, errors should be tackled immediately.

автор: Dr. S N

•10 авг. 2020 г.

Content and presentation is okay, the course is accompanied with lots of illustrations that is also good. But the problem is being a statistics, the course should have been taught using STYLUS (for eg: Machine Learning by Prof. Andrew) to reach the audience in more effective way.

автор: Peter Z

•31 дек. 2020 г.

Overall well done. The clarity of some exam questions could be better. There are lots of typos in the lab-exams. On the formula sheet the formula for computing the regression intercept is a = ybar - b(xbar) making b appear to be a function. The parentheses should be removed.

автор: James R

•18 июля 2018 г.

Great course to learn or review the basics of stats; it won't satisfy you if you're looking for mathematical proofs and derivations. That said, it does a surprisingly good job of teaching the statistical method without the proofs, and that may be just what many people want.

автор: Shilpa H

•9 мар. 2020 г.

This is a fantastic course for beginners. The course has covered all basic concepts in levels that are easily understandable. I felt that they could have touched upon chi square test as well. Also, I wouldn'd mind 1-2 extra videos per week to go in depth of some concepts.

автор: Sree N

•9 окт. 2019 г.

The majority of the course is super helpful in understanding Basic Stats. The only critique is that the advice/hints given in R-Lab are extremely unhelpful most of the time. Aside from this I recommend this course to anyone wanting a basic understanding of statistics .

автор: Suzanne D

•22 авг. 2019 г.

I did not want to learn R as part of this course. It added work that was not necessary as I am proficient with a different program already. I was just interested in the information on the stats themselves and the R did not add value. It should be optional for all labs.

автор: Swapnil J

•19 мар. 2016 г.

I really enjoyed attending this course and recommended it to my colleagues and friends who want to learn basic statistics. They have tried their best to make it more intuitive with some interesting examples and make the learning somewhat fun. kudos to the entire team!

автор: Analytics M

•17 окт. 2016 г.

Though it was mentioned that this course is for beginners without too much of statistics background, I still feel, some decent background is required to take up this course, particularly the Inference part.

Otherwise, the course is pretty good and commendable.

автор: Philip A E L

•26 июня 2020 г.

Loved this class and it's very close to 5-star.

Some of the quiz questions were a little wonky and it's hard to get that information to you. I wish the little flag button reported to you instead of Coursera who doesn't want to pass on information to you.

автор: Chutian Z

•4 апр. 2020 г.

i'm in favor of courses that are taught in a more serious (rather than funny). In addition, the instructor goes too fast at the confidence interval and hypothesis testing parts, which coincidentally are the most difficult sections of the whole course.

автор: Hannah D

•1 февр. 2021 г.

Thank you for the great content!

Some feedbacks I have are - detailed explanations on the questions after passing the test would have been helpful. And having an online IDE to practice R on quiz or tests would have been fun - projects even better!

автор: R

•2 нояб. 2017 г.

I loved this course i.e. the delivery and the content! However, using R was a bit complex but I was glad to be introduced to this software. More importantly, I actually understand the concepts of basic statistics now.

Thanks very much guys:-)

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