Data Science for Neuroimaging
January 7th 2019 – May 2019
Location : GIGA B34 +5 J-M Ghuysen-granderoom
Contact hours : Mondays 9:30-10:30
Data analysis, statistics and data visualization are skills that nowadays are required in many scientific and industrial applications. Terms like algorithm and script are known beyond the fields of engineering and computer sciences. While software for data analysis and visualization is available, most of the time we find ourselves doing something which needs more than clicking, and creating a script becomes necessary. Training such skills is thus a necessity that is not always fulfilled before starting a PhD. This course aims to fulfil this void by introducing programming as a tool for data analysis and visualization. In the end, participants will be able to design and perform the analysis and create the graphs and figures they want, and not just what their current knowledge allows.
Aim of the course
To provide the participants with state-of-the-art tools for analysis and visualization of data extracted from neuroimaging or behavioral experiments.
By the end of the course the participants will be able to :
- Install and use Python packages
- Install and use R packages
- Analyze and visualize data in Python and R
- Create and manipulate Data Frames
- Produce publication-quality figures using Python
- Extract metrics from neuroimaging dat.
- Perform (basic) statistics using Python and R
- Understand the fundamentals of programming
- Think and develop algorithms for data analysis
Who is this workshop for
everybody who is interested
Prerequisites
This workshop has no prerequisites other than working knowledge of English and access to internet. A personal laptop is a plus. The group is limited to 15 participants.
Duration
- The course will run January - May 2019
- Classroom: 20 hours (1 hour per week).
- Remote/On-line: 100 hours (~4 hours a week).
Taught by
Federico Raimondo (postdoctoral researcher, GIGA- Consciousness)
Program of the course
This course will have a hands-on format through the online platform DataCamp. Each week, the participants will follow one course (~4 hours with exercises) from the online platform. We will meet in the classroom every Monday for one hour for Q&A and discussions, and introduction of the following course. The selection of courses will depend on the needs and interest of the participants. Additionally, we will work with specific exercises tailored to tackle the most important skills needed to analyze and visualize neuroimaging data.
Additional material
Example of the first course: https://www.datacamp.com/courses/intro-to-python-for-data-science
