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Methods and Statistics in Social Sciences Coursera

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
3 months
Duration
3 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Critically Analyze Research and Results Using R. Learn to recognize sloppy science, perform solid research and do appropriate data analysis with this Methods and Statistics in Social Sciences Specialization offered by Coursera in partnership with University of Amsterdam.

Overview

Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.

This Methods and Statistics in Social Sciences Specialization offered by Coursera in partnership with University of Amsterdam 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.

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of Amsterdam

Skills you'll gain

  • Probability & Statistics
  • General Statistics
  • Statistical Programming
  • Research and Design
  • Data Analysis
  • Regression
  • Probability Distribution
  • Problem Solving
  • Critical Thinking
  • Experiment
  • People Analysis
  • Adaptability

Programme Structure

Courses include:

  • Quantitative Methods
  • Qualitative Research Methods
  • Basic Statistics
  • Inferential Statistics
  • Methods and Statistics in Social Science - Final Research Project

Key information

Duration

  • Part-time
    • 3 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Beginner Level

  • No prior experience required.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

  • This short course is included with Coursera Plus subscription

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. 

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