subject

Methods and Statistics in Social Sciences Specialization

to Conduct Solid Research in Social Science

Earn a Certificate

  • Specialization via Coursera and University of Amsterdam
  • $245 for 6 months
  • 4-8 hours a week of effort
  • 3 courses + capstone project
0 Reviews
Rating based on 0 student reviews.

Learn More

Title
Methods and Statistics in Social Sciences
Rating
☆☆☆☆☆ (0 Reviews)
Overview
To conduct solid research in social science
Credential Type
Provider
Cost
$245
Effort
4-8 hours a week
Duration
6 months

You'll learn to separate sloppy science from solid science and to do your own research. This specialization is comparable to an undergraduate program in methods and statistics in any social or behavioral science. The program targets students who want to develop their research skills to become more critical consumers of research information, or want to become (better) researchers. The Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses.

★★★★☆ (1) 6 weeks 31st Aug, 2015
Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research!
★★★★★ (1) 6 weeks 26th Oct, 2015
Learn about the qualitative approach to the social and behavioral sciences, using qualitative methods of inquiry and analysis. Learn to evaluate qualitative research and how to collect qualitative data and perform qualitative analyses yourself.
★★★★★ (1) 6 weeks 4th Jan, 2016
Learn about descriptive statistics, and how they are used and misused in the social and behavioral sciences. Learn how to critically evaluate the use of descriptive statistics in published research and how to generate descriptive statistics yourself, using freely available statistical software.
★★★☆☆ (4) 7 weeks 22nd Oct, 2018
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
0 ratings
5
0
4
0
3
0
2
0
1
0
0 reviews
@

Methods and Statistics in Social Sciences

Receive email notifications about this credential.
Follow Methods and Statistics in Social Sciences

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.