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  • Provider Coursera
  • Subject Statistics & Probability
  • $ Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 4-8 hours a week
  • Start Date
  • Duration 5 weeks long

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Overview

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This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. 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 course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data

Taught by

Emiel van Loon and Annemarie Zand Scholten

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Reviews for Coursera's Inferential Statistics
3.3 Based on 4 reviews

  • 5 star 25%
  • 4 star 25%
  • 3 star 25%
  • 2 star 0%
  • 1 star 25%

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  • 1
Ericdo1810 E
5.0 2 years ago
by Ericdo1810 completed this course, spending 4 hours a week on it and found the course difficulty to be hard.
This course is awesome on so many levels. This is the best inferential statistics course I've come across. Here's why:

- The slides are beautiful and visually appealing, making following the rigorous content easier to digest.

- Instructors are captivating and articulate, the explanations are clear and concise.

- The assignments are very very tough, making the course incredibly challenging, but worth it. This is a huge plus. Without challenge, good statistics understanding won't come.

It was a real challenge getting 100% for everything. For ev…
1 person found
this review helpful
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Brandt P
3.0 2 years ago
by Brandt dropped this course, spending 3 hours a week on it and found the course difficulty to be very easy.
dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped
0 person found
this review helpful
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Rachael W
1.0 2 years ago
Rachael partially completed this course.
You must pay to access certain content of the course. This trend in Coursera is really a pity, and I am actively looking for other platforms for high quality MOOCs
Was this review helpful to you? Yes
Beniamino M
4.0 2 years ago
Beniamino completed this course.
0 person found
this review helpful
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