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Bewertung und Feedback des Lernenden für Statistische Inferenz von Johns Hopkins University

4,348 Bewertungen
880 Bewertungen

Über den Kurs

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data....



25. Okt. 2018

Course is compressed with lots of statistical concepts. Which is very good as most must know concepts are imparted. Lots of extra reading is required to gain all insights. Very good motivating start .


24. Sep. 2020

the teachers were awesome in this course. I liked this course a lot.Understood it properly.Thanks to all the beloved teachers and mentors who toiled hard to make these course easy to handle.Gracious!

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826 - 848 von 848 Bewertungen für Statistische Inferenz

von Ravi t B

7. Mai 2017

No proper meaningful explanation for the logic derived, especially in Probability, the core of stats.

von Tony W

13. Feb. 2017

Not explained well, had to take another statistical inference course. Not worth the money.

von Charly A

5. Okt. 2016

The instructor is about as convoluted as you can possibly get with his explanations.

von Danish S

12. Juli 2021

Bad explanation and lecturer seems like in a rush and reading from his notes

von Seyed M

22. Aug. 2016

The slides are very difficult to follow. It could be better designed

von Aarohi V

3. Feb. 2021

At last no proper instruction given about how to complete the task.

von Christian

24. Juli 2017

poor course material / slides makes it hard to follow...

von Cady

13. Juni 2017

Too theoretical. Could not see practical applications.

von Bijan S

28. Feb. 2019

super boring instruction, instructor is like a robot!

von Stephen E

27. Juni 2016

To be honest I don't think this is worth the money.

von Pranjal S

21. Feb. 2019

Too vague in explanation and building a story

von Laetitia D S

9. Aug. 2016

Very difficult to understand and follow

von Shikhar O

30. Aug. 2016

worst course of the specialization.

von Eric T

21. Feb. 2017

Important material, poorly taught.

von Katakam S T

29. Jan. 2019

no clarity in the explaination

von Pramod N

26. Jan. 2016

Cant understand whats going on

von Sai S

9. Feb. 2022

no peer submissions available

von Mukarram M

29. Juni 2019

The worst teacher ever!

von youssef m

19. Jan. 2022


von Johannes H

5. Aug. 2016

Too much covered.

von Paul D

14. Juli 2018

bad lectures.

von Mekin L

23. Feb. 2018

huay mak mak

von Milad G A

9. Nov. 2020

i dont like