Data Analysis: Planning and Preparing

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Audience

For researchers in the natural sciences who want to develop their data analysis skills or mentor others through the process

Subscriptions available to institutions, departments and labs

Key features

2-module course with a course certificate

10 experts in data analysis including experienced statisticians and data scientists, journal editors and early career researchers

3-4 hours of learning

20-minute lessons

English language subtitles and transcripts

Skills

Understand the importance of planning and preparing for data analysis

Learn the key terms and processes relating to data analysis

Learn the principles of creating and updating a data analysis plan

Start using the two-module course

Insight from expert academics and professionals

This course contains insights from data analysis experts, including:

  • Data-rich fields including physics, medicine, ecology, and epidemiology
  • Data science and biostatistics
  • Editorial perspectives on common mistakes and good practice in data analysis

This course was developed and refined by an expert panel, comprising:

  • Mark Gardener | Ecologist, lecturer, data consultant and author specialising in data analysis
  • João Monteiro | Chief Editor of Nature Medicine
  • Bhramar Mukherjee | Professor and Chair of biostatistics, University of Michigan, USA
  • Xavier Vilasis-Cardona | Director of Doctoral Studies and Professor, Department of Engineering, Universitat Ramon Llull, Spain
  • Bronwyn Wake | Chief Editor of Nature Climate Change

The course also has additional insights through video interviews from:

  • Marc Amoyel | Senior Research Fellow, Cell and Developmental Biology, University College London
  • Vivian Biancardi Rossato | Postdoctoral Fellow, Department of Physiology, University of Alberta
  • Claudia Bonfio | Junior Group Leader, Laboratory of supramolecular biochemistry, University of Strasbourg, France
  • Alex Dexter | Higher Research Scientist, National Physical Laboratory, UK
  • Isabella Muratore | PhD candidate, Department of Biology, University of Boston

Accessible dip in and out format

The course’s two modules contain bite-size lessons and provide an accessible, dip in and out format for busy researchers. 

Researchers can track their progress through the course and fit the lessons around their work.

Subscriptions

Laboratory subscription

  • Up to 15 researchers
  • 12 months’ access
  • Usage reports showing researcher uptake



Price: Request a quote

Departmental subscription

  • Up to 100 researchers
  • 12 months’ access
  • Usage reports showing researcher uptake

Price: Request a quote

Institutional subscription

  • Institution-wide access
  • 12 months’ access
  • Usage reports showing researcher uptake
  • Launch presentation
  • Promotional resources

Price: Request a quote

Subscribe to support institutional objectives...

Maximise the outputs of the researchers at your institution as their data analysis becomes more effective and efficient

Improve the reputation of your institution by ensuring the reliability and reproducibility of data analysis and know that your researchers understand how to plan, prepare and undertake their data analysis

Support the professional and career development of your researchers while saving staff time on mentoring and training in data analysis methods

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FREE SAMPLE

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Bhramar Mukherjee
Claudia Bonfio
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