Introduction to Data Science for Social Scientists


Introduction to Data Science for Social Scientists

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Introduction to Data Science for Social Scientists


Introduction to Data Science for Social Scientists

Berkeley students get a 50% discount on this course!

Use discount code DSBERKELEY50 in checkout

DISCOUNT
50%
LEARNING TIME
10 hours
PREREQUISITES
None
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We are excited to offer students at University of California, Berkeley an exclusive discount on Introduction to Data Science for Social Scientists, saving $149.50.  

 
Introduction to Data Science for Social Scientists
299.00
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Course Overview


Course Overview


Course Overview

This introductory course provides all the theory and information you need for understanding data science methods from a social science perspective. Comprised of four manageable modules, this course is perfect for busy people who want to gain knowledge of the discipline before committing time to learning how to program. If you're looking to learn the whys and the whats, before tackling the hows, then this is the course for you.

This course is also suitable for those who already have coding skills, but want to learn how to apply these in a social science context.

What you'll learn

 
1
How data science is changing social science and statistics
2
About data science ethics and the potential issues with data collection and data sources. You will also consider the issues of privacy, sampling, population size, interpretation, and application
3
How to construct a survey and crowdsource responses, and which free tools you can use to build surveys
4
Which data science tools are commonly used in social science research
5
The value of open-source programming languages, specifically R and Python, and the advantages and disadvantages of each
6
How to work in Jupyter notebooks, a browser-based tool for creating interactive documents with live code, annotations, and visualizations - an ideal tool for helping you gain data science skills.

Read the full syllabus here.

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