About this Course
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Flexible deadlines

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Beginner Level

Approx. 36 hours to complete

Suggested: 8 weeks of study, week 1: 3-6 hours; week 2-8: 1-3 hours/week....

English

Subtitles: English, Vietnamese, German

Skills you will gain

StatisticsConfidence IntervalStatistical Hypothesis TestingR Programming

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 36 hours to complete

Suggested: 8 weeks of study, week 1: 3-6 hours; week 2-8: 1-3 hours/week....

English

Subtitles: English, Vietnamese, German

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Before we get started...

1 video (Total 4 min), 11 readings, 1 quiz
11 readings
Hi there!10m
How to navigate this course10m
How to contribute10m
General info - What will I learn in this course?10m
Course format - How is this course structured?10m
Requirements - What resources do I need?10m
Grading - How do I pass this course?10m
Team - Who created this course?10m
Honor Code - Integrity in this course10m
Useful literature and documents10m
Research on Feedback10m
1 practice exercise
Use of your data for research2m
5 hours to complete

Exploring Data

8 videos (Total 53 min), 5 readings, 4 quizzes
8 videos
1.02 Data matrix and frequency table6m
1.03 Graphs and shapes of distributions7m
1.04 Mode, median and mean6m
1.05 Range, interquartile range and box plot7m
1.06 Variance and standard deviation5m
1.07 Z-scores4m
1.08 Example6m
5 readings
Data and visualisation10m
Measures of central tendency and dispersion10m
Z-scores and example10m
Transcripts - Exploring data10m
About the R labs10m
1 practice exercise
Exploring Data22m
Week
2
3 hours to complete

Correlation and Regression

8 videos (Total 49 min), 6 readings, 2 quizzes
8 videos
2.02 Pearson's r7m
2.03 Regression - Finding the line3m
2.04 Regression - Describing the line7m
2.05 Regression - How good is the line?5m
2.06 Correlation is not causation5m
2.07 Example contingency table3m
2.08 Example Pearson's r and regression8m
6 readings
Correlation10m
Regression10m
Reference10m
Caveats and examples10m
Reference10m
Transcripts - Correlation and regression10m
1 practice exercise
Correlation and Regression20m
Week
3
3 hours to complete

Probability

11 videos (Total 64 min), 5 readings, 2 quizzes
11 videos
3.02 Probability4m
3.03 Sample space, event, probability of event and tree diagram5m
3.04 Quantifying probabilities with tree diagram5m
3.05 Basic set-theoretic concepts5m
3.06 Practice with sets7m
3.07 Union5m
3.08 Joint and marginal probabilities6m
3.09 Conditional probability4m
3.10 Independence between random events5m
3.11 More conditional probability, decision trees and Bayes' Law8m
5 readings
Probability & randomness10m
Sample space, events & tree diagrams10m
Probability & sets10m
Conditional probability & independence10m
Transcripts - Probability10m
1 practice exercise
Probability30m
Week
4
3 hours to complete

Probability Distributions

8 videos (Total 52 min), 5 readings, 2 quizzes
8 videos
4.02 Cumulative probability distributions5m
4.03 The mean of a random variable4m
4.04 Variance of a random variable6m
4.05 Functional form of the normal distribution6m
4.06 The normal distribution: probability calculations5m
4.07 The standard normal distribution8m
4.08 The binomial distribution8m
5 readings
Probability distributions10m
Mean and variance of a random variable10m
The normal distribution10m
The binomial distribution10m
Transcripts - Probability distributions10m
1 practice exercise
Probability distributions30m
4.7
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Top reviews from Basic Statistics

By PGApr 21st 2016

This is a nice course...thanks for providing such a great content from University of Amserdam.\n\nPlease allow us to complete the course as I have to wait till the session starts for week 2 lessions.

By CDMar 6th 2016

This course is really awesome. Designed well. Looks like a lot of efforts have been taken by the team to build this course. Kudos to everyone. Keep up the good work and thank you very much.

Instructors

Avatar

Matthijs Rooduijn

Dr.
Department of Political Science
Avatar

Emiel van Loon

Assistant Professor
Institute for Biodiversity and Ecosystem Dynamics

About University of Amsterdam

A modern university with a rich history, the University of Amsterdam (UvA) traces its roots back to 1632, when the Golden Age school Athenaeum Illustre was established to train students in trade and philosophy. Today, with more than 30,000 students, 5,000 staff and 285 study programmes (Bachelor's and Master's), many of which are taught in English, and a budget of more than 600 million euros, it is one of the largest comprehensive universities in Europe. It is a member of the League of European Research Universities and also maintains intensive contact with other leading research universities around the world....

About the Methods and Statistics in Social Sciences Specialization

Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions. This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods....
Methods and Statistics in Social Sciences

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.