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Introduction to Probability and Data

Duke University via Coursera

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  • Provider Coursera
  • Subject Statistics & Probability
  • $ Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Start Date
  • Duration 5 weeks long

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Overview

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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.

Taught by

Mine Çetinkaya-Rundel

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Reviews for Coursera's Introduction to Probability and Data
3.6 Based on 5 reviews

  • 5 star 20%
  • 4 stars 40%
  • 3 star 20%
  • 2 star 20%
  • 1 star 0%

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  • 1
Brandt P
3.0 2 years ago
by Brandt completed this course, spending 2 hours a week on it and found the course difficulty to be very easy.
This is the first course in the new (at the time of this writing) Statistics with R specialization from Duke. This specialization comes out of the popular Data Analysis and Statistical Inference course which used to be offered on Coursera.

Introduction to Probability and Data covers study design, types of data, probability, and several common distributions (normal, binomial) over 4 weeks, with a 5th week devoted to a project. Everything is done in R, and R markdown documents are provided for the programming labs and the final project to help students get started. There are also…
8 people found
this review helpful
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Kurp K
4.0 4 months ago
Kurp audited this course, spending 4 hours a week on it and found the course difficulty to be medium.
There should be 2 separate ratings in this case:

a) the course is great in explaining basic concepts of probability and statistics; the videos are clear, there are nice examples and in general the material is quite engaging; it's probably one of the most concise and clear intros to statistics available;

b) however Coursera's policy makes the course unatractive for people, who tries to take a course for free (without certificate); quizes are unavailable, so there is no chance to verify your understanding and you're left with just watching videos; I strongly prefer edX.org approach - i.e. providing all features for free and closing only certificates behind the paywall.
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Nela W
5.0 a year ago
by Nela partially completed this course.
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José N
4.0 a year ago
by José completed this course.
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Noah N
2.0 2 years ago
by Noah completed this course.
0 person found
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