Analyzing Data
Master data analysis with action-oriented courses. Dive into R and Python programming, grasp quantitative text analysis, and interpret numerical data effectively. From programming basics to qualitative analysis, these modules provide actionable skills for confident data analysis.
Available Courses
Analyze Qualitative Data
Develop skills to understand and evaluate qualitative data with coding techniques.
Analyzing and Interpreting Quantitative Data
Analyze and interpret quantitative data for research insights
Fundamentals of Quantitative Text Analysis
Learn quantitative text analysis using the R programming language, analyzing large datasets at scale.
Intermediate Python Skills
Develop skills to manipulate and visualize various data types effectively using Python.
Introduction to Python
Fundamentals of Python programming for beginners, emphasizing practical examples.
Introduction to R
Practical guide to using R for social science research, building knowledge and skills step-by-step.
See Numbers in Data
Prepare to read, interpret, and produce tables and graphs, including scientific notation.
Synthesizing Data and Writing Up a Systematic Review
Develop strong data synthesis and systematic review skills
Using Large Datasets for Research
Manage and explore large datasets for research applications
Working with Transcribed Data
Understand skills needed to manage and sort transcribed data from interviews, surveys, and focus groups.