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Introduction to Probability and Data, Université Duke

2,727 notes
615 avis

À propos de ce cours

This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization....

Meilleurs avis

par AA

Jan 24, 2018

This course literally taught me a lot, the concepts were beautifully explained but the way it was delivered and overall exercises and the difficulty of problems made it more challenging and enjoying.

par HD

Mar 31, 2018

The tutor makes it really simple. The given examples really helped to understand the concepts and apply it to a wide range of problems. Thank you for this. Wish I could complete the assignments too.

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595 avis

par Felipe Galvão Puccioni

Feb 16, 2019

Até o momento o curso está muito bom!

par Cheryl Lee Xueling

Feb 15, 2019

Be sure you want to learn R before you embark on this course. As a beginner, it was a challenge, but after a few rounds of revisiting the content, it all started to make sense. I would recommend you do the exercises on R Studio. I did mine on Datacamp and had to refamiliarise myself with the RStudio platform for the final assignment, which was slightly painful as more things had to be set up (and time may not be on your side by then). You can use the commands learnt in the course for the final assessment but many classmates seemed to go above and beyond. Online resources are truly indispensable and I'm amazed that I can make decent educated guesses as to what certain lines of code do, in order to improve the chart!

par Mikkel Roald-Arbøl

Feb 13, 2019

Offers a good introduction to probability as promised. Great material, you can really tell that the teachers have made an effort making the content presentable.

The only thing I did miss however, was a lecture introducing coding in R especially since that is what makes up most of the time in doing the peer-reviewed assignment. Nothing fancy, just a single lecture introducing the logic behind the dplyr and ggplot2 packages would have been ever so helpful and could have been covered in less than 30 minutes.

Thanks for a good course!

par James Parkinson

Feb 12, 2019

really good course, learned a lot about statistics and the R coding part is really well done.


Feb 10, 2019

Good job


Feb 10, 2019

Very well explained with great examples and so simple to understand

Thank You So much for putting this together !!

par Aleix Dorca

Feb 04, 2019

Great videos with lots of helpful and down to earth examples. Recommended!

par Alfredo José Neto

Jan 29, 2019

The course is excellent. The only drawback it is the peer review assignments. After you finish your assignment you need search for peers to review your and ask at least three people to do this for you.

par Andrea Pagani

Jan 28, 2019

Very nice and well explained material. Suggested!

par Dongliang Zhou

Jan 23, 2019

Terrific! The recommended textbook is also good!