Skip to content
CourseraData ScienceFree courseCertificate

Basic Statistics

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.

Created by: Matthijs Rooduijn

icon
Course Description

Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. The second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.You will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software.

icon
Instructor Details

placeholder

I am a political sociologist at the University of Amsterdam. I work as a postdoctoral researcher at the Amsterdam Institute for Inequality Studies (AMCIS) and as a lecturer at the Department of Political Science. Previously I was a PhD researcher at the Amsterdam Institute for Social Science Research (AISSR). In March 2013 I defended my PhD thesis entitled 'A Populist Zeitgeist? The Impact of Populism on Parties, Media and the Public in Western Europe' (cum laude). My research focuses on topics such as populism, left-right radicalism, voting behavior, public opinion and democracy. I study the reasons why people vote for populist parties; I assess the consequences of the rise of such parties for other actors in the electoral process; and I look at how social and economic inequalities shape political attitudes and electoral behavior. I teach courses in the Bachelor and Master programs of the Department of Political Science about comparative politics, populism, and research methodology. I also write about these and related topics on blogs and in newspapers and magazines. I am co-founder of the Dutch political science blog Stuk Rood Vlees.

icon
Reviews

4.8

482 reviews in total

Select a bar to show only those reviews.Select the bar again to show every rating.

By PURVA R on 11-Nov-19

Detailed explanations in the most simplest way to understand.

By Amaia P d A M on 30-Oct-19

Fantastic.

By SUKANYA K M on 25-Oct-19

Great value and learning

By BIBHAVENDRA K S on 22-Oct-19

Great course with all basics of statistics explained in best possible ways with day to day examples. Highly recommended for beginners

By Nazmi A on 16-Oct-19

Very good examples to understand the content.

By varun k on 1-Oct-19

Very engaging instructors, made the concepts stick. Excellently designed datacamp modules to help practice the concepts.

By Mohammad M B on 26-Sep-19

Interesting and fun way of teaching. Great course.

By Junaid H on 21-Sep-19

Great Insight! Would recommend to anybody.

By César R P M on 16-Sep-19

Excelent course to review past knowledge about statistics, easy to understand and practica with R.

By Sureshkumar L on 9-Sep-19

nice course.. course structured easy to understand and hint help where you dont know how to proceed futher.

By Md S M on 5-Sep-19

Great course on Statistics

By Xinyao Z on 1-Sep-19

This course can be challenging, but it is indeed a very useful course if you do not have any knowledge about statistics. R assignment is also useful for it saves time for calculation.

Showing 12 of 482 reviews

icon
Quality Score

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 96 / 100