MN
24 de jul. de 2020
Feeling blessed to perform this course . It was truly an amazing experience for me to go though this course .Learned bunch of theories with their mathematical example.Thanks to the instructors.
ND
12 de feb. de 2018
Incredibly dense (which they warn you about) so the lecutres fly over so much important info it's hard to keep track of even with a strong focus. A very good overview though.
por Ashish J R
•8 de sep. de 2021
good
por Yin H
•21 de oct. de 2020
good
por Cui L
•22 de jun. de 2020
good
por Li Z
•7 de jun. de 2020
good
por Cao Z
•31 de may. de 2020
good
por Miguel C
•6 de jul. de 2020
As the name suggests, this course delivers by teaching you the basics of inferential statistics - that is, conclusions based on samples. Definitely the most challenging course in the Methods and Statistics in Social Sciences specialization, and the most important takeaways are: 1) a beginner's look into programming with R and most importantly 2) a guide in understanding which test to use under each specific circumstance.
The only thing I think this course is missing is more preparation throughout the lectures, as sometimes the example exercises aren't enough (maybe add pop questions throughout each lecture, as it was done with Quantitative Methods, would be a good idea). This lack of extra preparation throughout the lectures makes the quizzes at the end of each week more difficult because you have to do extra research through other sources to fully understand the topics.
por Kristy E
•28 de oct. de 2020
The theoretical background into the different methods of statistical analysis, and most of the examples, were quite well done and easy to follow. I was hoping the R-lab assignments would require more work; for example: to show how to enter in a line of code (like the R-lab assignments did) and then give a second (similar) example that would reinforce how to use R properly).
Overall, I think the course is a worth-while one for students who are looking to review inferential statistics for use in the future (like I was).
por Jiakun P
•6 de dic. de 2021
The naming of the courses is a bit confusing. You call the previous course "basic stats" and this one "xxx stats", which could mislead others that this course is a continuation of the previous one or is more advanced. That's not true.
If you have learned econometrics and the preceeding course in this specialization, then you may not want to enroll for a better effect of study. Read the syllabus carefully at least.
por Eva
•31 de ago. de 2017
While the first course Basic Statistic was really thorough with step-by-step explainations, Inferential Statistics, near the end of the course sometimes rushed through some explanations. Therefor I sometimes needed extra literature to understand the calculations. Still, I highly recommend this course!
por Kayee M
•11 de dic. de 2020
Fun examples make listening to the lectures fun and impressionable, which helps with remembering the explanations. This course would have been perfect if there was a fill in as you go summary table to summarise when to use all the different statistical tests.
por Jiajing G
•6 de jul. de 2018
The course is nice with much content and clear examples! So happy that I passed the final exam. But some transcripts in the videos are not correct and some steps in calculation were omitted. I hope reviews of quiz and exams are available.
por Saurabh P
•7 de ene. de 2019
Really a great course. It covers almost everything that is important in the subject. But maybe it could have been made better by adding the exercises more often than it is now as it covers a lot of syllabus.
por Richard J W
•29 de mar. de 2016
A good introduction with very good videos and exercises. I'm only not giving 5 stars due to the relative lack of clarity in the final week and the lack of feedback on the final exam.
por raunak r
•8 de ene. de 2017
Not giving 5 stars only because it was fast paced. With a low grasping power i had to watch the video again and again. Otherwise the content in the video is to the point.
por Liza S
•16 de dic. de 2016
I enjoyed this course. Being new to stats, I feel I needed more practice and extra examples. A lot of extra work and self-study helped me grasp and pass this course.
por Dragos A
•14 de sep. de 2018
The course is too compressed in my opinion but if you make it past the second week, the learning curve is not that steep anymore.
por Cassandra B
•9 de may. de 2020
Wish there was a way to accept alternative methods on R assignments - got the answer but would not accept string of code
por Luis L C S
•12 de dic. de 2016
Awesome however was a littler dificult to follow, I think it can be betther by a step by step practices...
por Mariëlle S
•21 de jun. de 2016
Great course, not easy because lots of information is shared in a short time. But totally worth it!
por mingjun g
•11 de jul. de 2020
the quiz in this course really makes me crazy. I have to spend a lot of time to pass the exam.
por Po Y L
•4 de ene. de 2018
Compare to Basic Statistics, this is indeed a challenging course but worth the effort.
por Di M B
•21 de jun. de 2016
Very good course to learn bases of statistics. I enjoyned. Thak you to the teachers.
por Francisco P
•18 de jun. de 2018
It is a great course it will be next course that I shall take when I have more time
por Shaun M
•26 de jun. de 2020
Challenging but worth it. I know substantially more than I did 7 weeks ago.
por RAVIKA C
•10 de jun. de 2019
It is a little tough. But has a good amount of syllabus!