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

4,386 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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201 - 225 von 855 Bewertungen für Statistische Inferenz

von André M M

4. März 2018

I enjoyed a lot the theoretical content and the way it was present by the lecturer.

von Dewald O

21. Dez. 2018

very informative, very technical for a beginner, but provides a good understanding

von David R

12. Nov. 2018

Great refresher on stats and how to carry out tests in R...lots of useful examples

von Robert H

5. Sep. 2019

Very good course, well detailed and a nice introduction to Statistical Inference.

von Elmer P

19. Aug. 2018

Solid on statistics, which I think is very relevant in Data Science and Research.

von Maliheh S

16. Sep. 2017

The best course I've taken in Data Science Specialization.

Thanks Professor Caffo!

von Rodrigo P

27. Apr. 2017

Statistics is not easy, but it is very powerful to understand real data problems.

von Rok B

10. Juni 2019

Great course! Gives a really nice and comprehensive overview of basic statistics

von Long T

9. Sep. 2017

Very nice and descent. The homework is especially interesting and well designed.

von danxu

22. Mai 2016

Very useful !

Teacher is awesome, statement is clear and simple.

love this course!

von Bruno R S

20. Apr. 2019

this course is excellent as it is hard if do not have a good base on statistics

von Vinicio D S

22. Dez. 2017

Great course for getting an introduction into the Stats needed for Data Science

von Léa F

10. Nov. 2017

Thank you Brian !!! I learned a lot of things in a very short amount of time :)

von Peter G

4. Feb. 2016

Definitely the best and most useful course of the Data Science Specialization!


4. Juni 2020

It gives the idea and the tools that everybody needs to develop data science.

von Offiong E

28. Juni 2017

very fast paced course. i totally enjoyed digging deep into my inner reserve.

von Carolina G G

23. Sep. 2019

Muy organizado, con temarios interesantes y mucha claridad en los contenidos

von Ruddy E U S

14. Juni 2016

It was very interesting, descriptive and joyful. I really loved this course.

von pravin

3. Juli 2017

Very valuable overview for all statistical analysis used in future courses.

von Marcelo A P

17. Aug. 2016

Need to improve the clarity of the lectures, but it´s a good course though.

von Zsolt B

5. Nov. 2020

Excellent course, each and every drop of it is highly useful and valuable.

von Hector C U R

4. Nov. 2020

Excelente Curso el contenido y la metodología de enseñanza es interesante.

von ONG P S

15. Feb. 2020

Very good course. A lot of examples helping me understanding the theories.


10. Sep. 2017

Very good for anyone wanting to get into the field of Data Science using R

von Sukanya S

6. Apr. 2018

This is the most difficult course so far as I am not a statistics student