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GMS_Stats_Course

Content for the GMS Statistics Course

Teachers please put your course data in the relevant folder:

/1_Introduction_to_Statistics
/2_Statistical_Modelling
/3_Introduction_Bayesian_Modelling
/4_Statistical_Analysis_of_Genome-wide_data
/5_Machine_Learning_Applications

Suggested Software

  1. Anaconda3 (for python3 notebooks)
  2. RStudio

Timetable

28/10/2019 - Introduction to Statistics Day 1 (JPW) - Room A

29/10/2019 - Introduction to Statistics Day 2 (JPW) - CCMP2

04/11/2019 - Statistical Modelling (GB) - Room B

05/11/2019 - Statistical Modelling (AP) - Room B

12/11/2019 - Introduction to Bayesian Modelling (AP) - Room B

27/11/2019 - Statistical Analysis of Genome-wide data (AM) - Room B

28/11/2019 - Statistical Analysis of Genome-wide data (AM) - Room B

03/12/2019 - Machine Learning Applications (TBC) - Room B

05/12/2019 - Machine Learning Applications (TBC) - Room B

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Content for the GMS Statistics Course

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  • Jupyter Notebook 99.3%
  • R 0.7%