Description

This course on Data Analysis: Planning and Preparing introduces the essential elements of robust data analysis during research projects and why planning and preparing supports these. In this course you will discover how planning and preparing for data analysis will lead to effective analysis, benefitting your immediate research and ultimately your reputation and career. You will learn how to implement best practices in preparing your data in order to maximise the outputs of your research data and avoid time-consuming and costly mistakes.  

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:

• Why effective data analysis is beneficial to your research and your career
• Common pitfalls and errors that can be avoided if you plan and prepare for your analysis carefully. 
• How to create a data analysis plan
• How to apply best practices for collating and quality checking your data
• Benefits of carrying out a preliminary analysis and best practices in doing so.

Content

Part 1: Introduction to data analysis and the importance of planning

• The key terms and processes relating to data analysis
• The benefits of preparing and conducting your analysis effectively, and the risks of conducting analysis poorly
• The key challenges to preparing and conducting effective data analysis
• How to create a data analysis plan and get feedback

Part 2: Preparing your data for analysis

• How to apply best practice to collate and merge the data you’ve collected
• How to check your data
• Strategies for carrying out a preliminary analysis