High-Dimensional Statistics with R Training, Feb 15 - 18 Overview High-Dimensional Statistics with R This course is intended for those who have a working knowledge of statistics and linear models with R and wish to learn high-dimensional statistical methods with R. This is a short course aimed at familiarising learners with statistical and computational methods for the extremely high-dimensional data commonly found in biomedical and health sciences (e.g., gene expression, DNA methylation, health records). These datasets can be challenging to approach, as they often contain many more features than observations, and it can be difficult to distinguish meaningful patterns from natural underlying variability. To this end, we will introduce and explain a range of methods and approaches to disentangle these patterns from natural variability. After completion of this course, learners will be able to understand, apply, and critically analyse a broad range of statistical methods. In particular, we focus on providing a strong grounding in high-dimensional regression, dimensionality reduction, and clustering. Ed-DaSH Ed-DaSH is a Data Science training programme for Health and Biosciences. The team has developed workshops using The Carpentries platform on the following topics. See workshops for dates and registration details. All workshops will be delivered remotely. General Information Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting. When: 15-18 February 2022. Add to your Google Calendar. Requirements: Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you. Contact: Please email for more information. Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ. More Information Ed DaSh Feb 15 2022 09.30 - Feb 18 2022 13.00 High-Dimensional Statistics with R Training, Feb 15 - 18 This course is intended for those who have a working knowledge of statistics and linear models with R and wish to learn high-dimensional statistical methods with R. Register here
High-Dimensional Statistics with R Training, Feb 15 - 18 Overview High-Dimensional Statistics with R This course is intended for those who have a working knowledge of statistics and linear models with R and wish to learn high-dimensional statistical methods with R. This is a short course aimed at familiarising learners with statistical and computational methods for the extremely high-dimensional data commonly found in biomedical and health sciences (e.g., gene expression, DNA methylation, health records). These datasets can be challenging to approach, as they often contain many more features than observations, and it can be difficult to distinguish meaningful patterns from natural underlying variability. To this end, we will introduce and explain a range of methods and approaches to disentangle these patterns from natural variability. After completion of this course, learners will be able to understand, apply, and critically analyse a broad range of statistical methods. In particular, we focus on providing a strong grounding in high-dimensional regression, dimensionality reduction, and clustering. Ed-DaSH Ed-DaSH is a Data Science training programme for Health and Biosciences. The team has developed workshops using The Carpentries platform on the following topics. See workshops for dates and registration details. All workshops will be delivered remotely. General Information Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting. When: 15-18 February 2022. Add to your Google Calendar. Requirements: Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you. Contact: Please email for more information. Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ. More Information Ed DaSh Feb 15 2022 09.30 - Feb 18 2022 13.00 High-Dimensional Statistics with R Training, Feb 15 - 18 This course is intended for those who have a working knowledge of statistics and linear models with R and wish to learn high-dimensional statistical methods with R. Register here
Feb 15 2022 09.30 - Feb 18 2022 13.00 High-Dimensional Statistics with R Training, Feb 15 - 18 This course is intended for those who have a working knowledge of statistics and linear models with R and wish to learn high-dimensional statistical methods with R.
