Data Analysis: Conducting and Troubleshooting

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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

Full course access for institutions, departments or labs with a Nature Masterclasses subscription 

Key features

3 interactive modules made up of 10-20-minute lessons

3 hours of learning

Developed by 2 Nature Portfolio editors and 8 experts in data analysis including experienced statisticians and data scientists

English language subtitles and transcripts

Certificate of completion

What you'll learn

The importance of conducting effective data analysis

The best tools for exploring various datasets

The range of analytic methods available and understand which is most suited to your data

Strategies for obtaining feedback, troubleshooting and expressing the limitations of your analysis

Start using the three-module course

Introduction to data analysis

Exploring your data and reviewing your analysis plan

Analysing your data

Insight from expert academics and professionals

This course was developed by an expert panel, and 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

Mark Gardener

Ecologist, lecturer and author, DataAnalytics.org.uk

João Monteiro

Chief Editor, Nature Medicine

Bhramar Mukherjee

Professor and Chair of Biostatistics, University of Michigan

Xavier Vilasis-Cardona

Professor and Director of Doctoral Studies, Universitat Ramon Llull

Bronwyn Wake

Chief Editor, Nature Climate Change

Insight from researchers

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, Institut de Science et d’Ingénierie Supramoléculaires (ISIS), University of Strasbourg
  • Alex Dexter | Higher Research Scientist, National Physical Laboratory
  • Isabella Muratore | PhD candidate, Department of Biology, University of Boston

Accessible dip in and out format

The course’s three 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.

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Learn how to manage your research data with this four-module course.

Institutions: Choose your subscription model

Laboratory subscription

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



Price: Request a quote

Departmental subscription

  • Up to 50 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

Improve the reputation of your institution by ensuring the efficiency, efficacy and reliability of your data analysis, and know that your researchers understand how to carry out and troubleshoot their data analysis

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

Individual researcher?

RECOMMEND US

Recommend the course to a lab, department, or institution.

FREE SAMPLE

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Cavan Images
Ian Allenden / Alamy Stock Photo
Portis Imaging / Alamy Stock Photo
Tammy Kelly / Alamy Stock Photo
Mark Gardener
João Monteiro
Bhramar Mukherjee
Xavier Vilasis-Cardona
Bronwyn Wake
Claudia Bonfio
Getty/Thomas Barwick
Stígur Már Karlsson/Heimsmyndir
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