Data Analysis for Academics
Learn foundational data analysis skills tailored for academic research, using practical examples and clear guidance.
What You Will Learn
<p>This beginner-level programme introduces academics to essential data analysis techniques relevant to their research. Covering data organisation, descriptive statistics, and basic inferential methods, it offers practical steps with resource links and illustrative images. The course emphasises hands-on learning to build confidence in managing and interpreting research data effectively.</p>
This Programme Includes
Programme Outline
The programme is structured across 5 modules, each covering one stage of learning with live sessions, self-paced content, and a practical assignment.
<p>Understand the role and scope of data analysis in academic research, including types and sources of data.</p>
<p>Learn best practices for organising research data effectively before analysis, including cleaning and software usage.</p>
<p>Master summarising data characteristics using statistical measures and effective visuals.</p>
<p>Gain foundational knowledge on testing hypotheses and drawing conclusions beyond the sample data.</p>
<p>Develop skills for presenting analysis results with clarity and academic rigour.</p>
Meet Your Instructor
Frequently Asked Questions
No, this beginner course is designed for those with little to no prior experience in statistics or data analysis.
The course references commonly accessible software such as spreadsheet programs and free statistical tools, with resource links provided for downloads and tutorials.
Yes, lessons include guided examples and exercises to reinforce learning through hands-on practice.
Yes, participants who complete the programme will be awarded a certificate of completion.