Data Analysis: Conducting and Troubleshooting
Target Group: Researchers (i.e. PhD, Postdoc)
Course Format: VITA-Online course
Duration: Module 1: 1 hour ; Module 2: 2 hours ; Module 3: 2 hours
Total: 5 hours
Access only for Charité employees on the nature learning platform.
Click here to start the course and register with your Charité e-mail address.
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Description
This course on 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.
Access only for Charité employees on the nature learning platform.
Please, click here to start the course and register with your Charité e-mail address.
Objectives
You will learn:
- The key terms and concepts in data analysis
- The common challenges of data analysis and the benefits of overcoming these to conduct effective analysis
- The analytic methods available and how to identify which is best suited to your data
- How to compile, compare and confirm your analysis
- Strategies for obtaining feedback, troubleshooting and expressing the limitations of your analysis
Content
Part 1: Introduction to Data Analysis:
- The key terms and concepts relating to data analysis
- Why effective data analysis is important and the consequences of conducting data analysis poorly
- The key challenges in conducting effective data analysis
Part 2: Exploring Your Data and Reviewing Your Analysis Plan:
- How to explore your data numerically
- How to explore your data visually
- How to review your data analysis options and your plan
Part 3: Analyzing Your Data:
- How to analyse your data and test your hypothesis
- How to confirm and troubleshoot your analyses
- How to present your findings and express limitations