Data Collection and Processing
Coursera
Coursera course: Data Collection and Processing with Python
More resources on Data Collection
NIST/SEMATECH e-Handbook of Statistical Methods
Free resource for data collection in experimental design, praised in r/science
Scribbr Data Collection Guide
Comprehensive free guide with examples, top rec in r/GradSchool
Understanding Research Methods
This MOOC is about demystifying research and research methods. It will outline the fundamentals of doing research, aimed primarily, but not exclusively, at the postgraduate level. It places the student experience at the centre of our endeavours by engaging learners in a range of robust and challenging exercises befitting SOAS, University of London's status as a research-intensive university and its rich research heritage. The course will appeal to those of you who require an understanding of research approaches and skills, and importantly an ability to deploy them in your studies or in your professional lives. In particular, this course will aid those of you who have to conduct research as part of your postgraduate studies but do not perhaps have access to research methods courses, or for those of you who feel you would like additional support for self-improvement. There is no expectation that you already have a research topic or project in mind when you begin the course. No prior knowledge or experience in research is required to take this course and as such, the course is for everyone. This MOOC draws on a wealth of existing course material developed to support research training across SOAS, University of London and particularly drawing from the Centre for International Studies and Diplomacy (CISD). In 2015, the course was nominated for the prestigious Guardian University Award for its innovative approach to online learning. Participation in or completion of this online course will not confer academic credit for University of London programmes.
sciencebuddies.org
Science Buddies is a nonprofit science-education site offering free science fair project ideas and hands-on experiments. It provides step-by-step procedures, materials lists, and guidance on data collection and data analysis.
Practical Statistics for Data Scientists
Practical Statistics for Data Scientists - A book resource
explorable.com
Explorable is an educational resource offering practical, easy-to-understand tutorials on research methods, data collection techniques, survey and experimental design, and data analysis. It provides step-by-step guides and explanations aimed at students and researchers.