- Experiments: From Idea to Design
- Interpreting Scientific Results
- Narrative Tools for Researchers
- Managing Research Data to Unlock its Full Potential
- Effective Collaboration in Research
- Scientific Writing and Publishing
- Persuasive Grant Writing
- Networking for Researchers
- Improving Scientific Presentations
- Data Analysis: Planning and Preparing
- Data Analysis: Conducting and Troubleshooting
- Focus on Peer Review
- Welcome to the Nature MasterClasses Guide
- Finding Funding Opportunities
Data Analysis: Conducting and Troubleshooting
Data Analysis: Conducting and Troubleshooting is a course that was developed in collaboration with 10 data analysis experts, including experienced statisticians and data scientists, journal editors, and early career researchers. This course will enable you to:
- Understand the importance of conducting effective data analysis;
- Identify the best tools for exploring various datasets;
- Identify the range of analytical methods available and understand which one is best suited to your data;
- Learn strategies for getting feedback, troubleshooting, and expressing the limitations of your analysis.
This course is composed of 3 modules with a total duration of 5 hours - 20 minutes lessons.
-
Module 1: Introduction to Data Analysis
Understand the importance of conducting effective data analysis.
-
Module 2: Exploring Your Data and Reviewing Your Analysis Plan
Identify the range of analytic methods available and understand which is most suited to your data.
-
Module 3: Analysing Your Data
Learn strategies for obtaining feedback, troubleshooting and expressing the limitations of your analysis.