Data Analysis: Conducting and Troubleshooting
For researchers in the natural sciences who want to develop their data analysis skills or mentor others through the process
10 experts in data analysis, including experienced statisticians and data scientists, Nature Portfolio journal Editors and early career researchers
5 hours of learning
15-minute bite-sized lessons
3-module course with certificate
About this course
‘Data Analysis: Conducting and Troubleshooting’ introduces the key concepts, processes and methodologies of effective data analysis during research projects. In this course, you will discover how conducting effective data analysis will benefit your research and career, and learn how to implement best practices in order to maximise the outputs of your research.
What you’ll learn
- The importance of conducting effective data analysis
- The best tools for exploring various datasets
- The range of analytic methods available, and understanding which is most suited to your data
- Strategies for obtaining feedback, troubleshooting, and expressing the limitations of your analysis
The course
Free Sample
Introduction to data analysis
5 lessons 1h 30m
Free Sample
Exploring your data and reviewing your analysis plan
5 lessons 1h 30m
Free Sample
Analysing your data
6 lessons 2h
Free Sample
Data Analysis: Conducting and Troubleshooting: Free Sample - section
Developed with expert academics, professionals and editors
This course has been created with an international team of experts with extensive experience in data analysis, encompassing:
- Data-rich fields including physics, medicine, ecology, and epidemiology
- Data science and biostatistics
- Editorial perspectives on common mistakes and good practice in data analysis
Advice from experienced researchers
The course has additional insights through video interviews from:
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