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4.2

3,339 Bewertungen

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649 Bewertungen

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....

Oct 26, 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 .

Mar 22, 2017

The strategy for model selection in multivariate environment should have been explained with an example. This will make the model selection process, interaction and its interpretation more clear.

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von Sebastian R

•Sep 19, 2017

Great intro to statistical inference. Also, the materials are awesome

von Jose-Arturo M

•Jan 25, 2017

This course is clear and well structured, it is great that the author has created a companion book.

von Leandro

•Jul 15, 2017

This is exactly the course I was looking for. Great job guys!

von Kristin A

•Nov 27, 2017

Excellent coverage of a broad range of mathematical material that is necessary for doing data science.

von saul c

•Dec 12, 2016

Although the instructor is very good, it would be nice to have a direct link to more references that explains the basics without skipping certain steps that a beginner may find difficult. The course is pretty good and if the student is proactive he/she will find a way to self-learn those missing steps :)

von Greig R

•Aug 15, 2017

Challenging, but interesting course.

von Xiao M

•Oct 18, 2017

Very good and clear course!

von Ruddy U

•Jun 14, 2016

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

von Emi H

•Jun 22, 2017

I truly enjoyed this course

von Daniel B

•Mar 15, 2016

This course gives a really good overview in statistical Inference.

von Sanjeev K

•Apr 02, 2018

A great course for the beginner who are new to the field of Data Science

von Venkatesh

•Jul 07, 2017

This course is for beginners for statistical inference using R. Very well presented.

Thank you guys

von 朱荣荣

•Mar 12, 2016

good

von Veronica F V M

•Oct 02, 2017

Very Good and the swirl practices are very helpfull!!

von greeshma

•Aug 13, 2017

Amazing course!!!!!!!!

von Bill S

•Oct 02, 2017

This was challenging and informative. I think the time estimates are way off though. Some things estimated at 2 hours really took 10, and things that are estimated to take hours are one paragraph to read and then over.

von FARZAD R

•May 30, 2017

Practical course

von Rodney A J

•Jul 30, 2017

This was a great course.

von Marco B

•Dec 05, 2017

nice course.

it provides a formal explanation of statistical inference and its practical application.

von Ben N

•Feb 23, 2016

very nice course

von Asif M A

•Jul 08, 2016

I liked it.

von Tor G

•Aug 24, 2017

Great course, covering the subject!

von Dale H

•Apr 30, 2018

I learned a lot!

von Sergio M

•Apr 23, 2018

Amazing course, great to understand basic statistical analysis

von Charles Z

•Jul 05, 2017

Very helpful but need quite good statistic background to catch up with the learnings.

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