Get started with custom lists to organize and share courses.

Sign up

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Statistics: Making Sense of Data

University of Toronto via Coursera

8 Reviews 801 students interested

Taken this course? Share your experience with other students. Write review

Overview

Sign up to Coursera courses for free Learn how

We live in a world where data are increasingly available, in ever larger quantities, and are increasingly expected to form the basis for decisions by governments, businesses, and other organizations, as well as by individuals in their daily lives. To cope effectively, every informed citizen must be statistically literate.  

This course will provide an intuitive introduction to applied statistical reasoning,  introducing fundamental statistical skills and acquainting students with the full process of inquiry and evaluation used in investigations in a wide range of fields.  In particular, the course will cover methods of data collection, constructing effective graphical and numerical displays to understand the data, how to estimate and describe the error in estimates of some important quantities, and the key ideas in how statistical tests can be used to separate significant differences from those that are only a reflection of the natural variability in data.

Syllabus

A first look at data
Weeks 1-2: Summary statistics and graphical displays for a single categorical or quantitative variable and for relationships between two variables.

Collecting data
Week 2:  Sampling.  Observational studies and experiments.  The effect of confounding and concluding causation.

Probability
Week 3:  Probability models, the normal distribution, the Law of Large Numbers, the Central Limit Theorem, sampling distributions.

Confidence Intervals 
Week 4: Confidence intervals and sample size estimation for proportions and means.

Tests of significance 
Week 5: Tests of significance, power and sample size estimation for proportions and means

Two samples
Week 6: Tests of significance and confidence intervals for proportions and means in the two sample case.

Simple linear regression
Week 7: Method of least squares, evaluating model fit, the effects of outliers and influential observations.

The process of statistical inquiry
Week 8: Capstone case study.

Taught by

Alison Gibbs and Jeffrey Rosenthal

Class Central Charts

Help Center

Most commonly asked questions about Coursera Coursera

Reviews for Coursera's Statistics: Making Sense of Data
5.0 Based on 8 reviews

  • 5 stars 100%
  • 4 star 0%
  • 3 star 0%
  • 2 star 0%
  • 1 star 0%

Did you take this course? Share your experience with other students.

Write a review
  • 1
Anonymous
5.0 4 years ago
Anonymous is taking this course right now.
This course is really good. The instructors explain everything very well. They make the lectures interesting - not just boring pre-prepared slides. I am half way through the course, and I am thoroughly enjoying it.
5 people found
this review helpful
Was this review helpful to you? Yes
Mia R
5.0 3 years ago
by Mia completed this course.
1 person found
this review helpful
Was this review helpful to you? Yes
Gaurav G
5.0 3 years ago
by Gaurav completed this course.
Was this review helpful to you? Yes
Shreena S
5.0 4 years ago
by Shreena is taking this course right now.
0 person found
this review helpful
Was this review helpful to you? Yes
Norman C
5.0 3 years ago
by Norman completed this course.
Was this review helpful to you? Yes
Elizabeth J
5.0 3 years ago
Elizabeth completed this course.
Was this review helpful to you? Yes
Juliano I
5.0 3 years ago
by Juliano completed this course.
Was this review helpful to you? Yes
Ellada E
5.0 3 years ago
Ellada completed this course.
Was this review helpful to you? Yes
  • 1

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free

Never stop learning Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.