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4.2

3,535 Bewertungen

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685 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 LIWANGZHI

•Jan 18, 2019

this course really provides me a insight into statistical inference. Thanks, Brian!

von Matthew S

•Feb 10, 2019

Excellent course if you have some background in math or stats already. This course might be difficult if you don't have that background. The peer graded assignment does a good job tying everything together in my opinion.

von Sanil S

•Jan 14, 2019

The course starts from very basic probability piece which is great for beginners and covers all relevant topics. I found that some of the topics difficult to grasp. However I did supplement this course by seeing Youtube videos from jbstatistics and Marins stat lectures.

von Athanasios S

•Jul 30, 2018

I loved this class

von Mohammad A

•Sep 08, 2018

Great course and lecturer.

von SAMA V N N

•Oct 15, 2018

it is very helpful for me to solve the statistical problems by applications

Thank you COURSERA

von Pankaj K

•Oct 16, 2018

This course covers the very basics of statistical inference which will help to strengthen your base concept. I loved doing the course especially the practice assignments on swirl.

Thanks.

von Amr h m s

•Aug 19, 2018

perfect course

von Elmer P

•Aug 19, 2018

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

von Adham A

•Sep 18, 2018

I learned a lot!

von Shashwat K

•Sep 11, 2018

good course

von amit p

•Oct 04, 2018

This course is one of the most difficult to comprehend, particularly if one does not have any prior knowledge of statistics and probability. But Swirl package of Statistical Inference helps a lot and is a good heuristic approach to learn.

P.S. I would recommend to read this lecture along with any textbook. I referred Probability and Statistics (Schaum Series).

von Hisham E M

•Oct 04, 2018

Good Course

von Jacob A

•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 .

von Vijay B

•Nov 02, 2018

More practical exercises with R (like a pre-exam of examples with exercices) would give more opportunities to practice and understand the matter (R implementation).

von Akshay A

•Nov 01, 2018

Could be more interactive

von Terry L J

•Nov 02, 2018

Good material and presentation!

von Ajendra S

•Aug 29, 2018

It was a good course to go through. I have learned concepts of random variables and hypothesis testing.

von Sirsendu S

•Aug 30, 2018

must take course

von Zhuang W

•Jul 16, 2018

This class is extremely useful as it gives me a solid basis of the statistical concepts that will be used in the course later.

von Luis C A

•Sep 20, 2017

really good and awesome

von aditya n p

•May 12, 2016

Awesome Course !!

von Light0617

•Aug 14, 2016

There is few programming in this course. However, in this class, you will learn a lot of statistical model to analyze data.

von Peter G

•Feb 04, 2016

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

von xun y

•Dec 25, 2017

Great course that covers the basics of statistical inference.

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