Monte Cristo Logo
Monte Cristo

Data Collection

9 resources

Level
Type

🎓Courses(2)

course👁️ 0

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.

beginner🇬🇧
course👁️ 0

Data Collection and Processing

Coursera course: Data Collection and Processing with Python

intermediate🇬🇧

📚Books(2)

book👁️ 0

Practical Statistics for Data Scientists

Practical Statistics for Data Scientists - A book resource

intermediate🇬🇧
book👁️ 0

Data Collection and Analysis

Data Collection and Analysis - A book resource

intermediate🇬🇧

🌐Websites(5)

scroll for more →
website👁️ 0

NIST/SEMATECH e-Handbook of Statistical Methods

Free resource for data collection in experimental design, praised in r/science

beginner🇬🇧
website👁️ 0

Scribbr Data Collection Guide

Comprehensive free guide with examples, top rec in r/GradSchool

beginner🇬🇧
website👁️ 0

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.

intermediate🇬🇧
website👁️ 0

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.

intermediate🇬🇧
website👁️ 0

surveymonkey.com

SurveyMonkey is an online survey platform that lets you create customizable surveys, distribute them to respondents, and collect responses for analysis with built-in analytics and dashboards. It offers templates, diverse question types, and data collection tools suited for research, feedback, and learning data collection methods.

intermediate🇬🇧

Frequently Asked Questions

What are the best free resources to learn Data Collection?

Dantes has curated 3 resources for Data Collection, including 1 courses, 2 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Data Collection hard to learn?

Data Collection is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Data Collection learning resources are available on Dantes?

For Data Collection, Dantes has curated 1 courses, 2 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Data Collection resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Data Collection, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

Go deeper

Test your understanding of Data Collection

Explain it out loud. An AI tutor listens and asks questions that expose gaps you didn't know you had.