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alt=\"DataScienceFun\"\u003e\n\u003cp\u003e The following Content is provided for Neuroscientist to get a general overview\nabout Data-Science and Exploratory Data Analysis using the Python Language from the Medical Univeristy of Innsbruck \u003c/p\u003e\n\nThe Course is offered in the winter semester, and is conducted by Maximilian Zeidler, Kai Kummer und David Zimmermann\n\n\u003ch2\u003e This course has the following Topics: \u003c/h2\u003e\n\n\u003cul\u003e\n  \u003cli\u003e Data Files are located in the Data Folder\u003c/li\u003e\n  \u003cbr\u003e\n    \u003cul\u003e \n      \u003cli\u003e Tabular Data \u003c/li\u003e\n        \u003cul\u003e\n          \u003cli\u003eParkinson DataSets \u003c/li\u003e\n          \u003cli\u003eIV Dataset (iv_condition.csv) \u003c/li\u003e\n          \u003cli\u003eCalcium Imaging Dataset \u003c/li\u003e\n         \u003c/ul\u003e\n      \u003cli\u003e Natural Language Processing \u003c/li\u003e\n      \u003cli\u003e Signal Processing \u003c/li\u003e\n      \u003cli\u003e Single Cell Sequencing/Bulk RNA Sequencing \u003c/li\u003e\n    \u003c/ul\u003e\n    \u003cbr\u003e\n  \u003cli\u003e Analysis Script for the Data \u003c/li\u003e\n  \u003cbr\u003e\n    \u003cul\u003e\n      \u003cli\u003e Basic Python \u003c/li\u003e\n      \u003cli\u003e Basic Matplotlib \u003c/li\u003e\n      \u003cli\u003e Basic Pandas/Numpy \u003c/li\u003e\n      \u003cli\u003e Basic Clustering \u003c/li\u003e\n      \u003cli\u003e Basic Dimensional Reduction \u003c/li\u003e\n      \u003cli\u003e Basic Pandas: Pubmed Analysis \u003c/li\u003e\n      \u003cli\u003e Basic Tabular: Parkinson Analysis \u003c/li\u003e\n      \u003cli\u003e Basic Calcium: Calcium Imaging Data Loading \u003c/li\u003e\n      \u003cli\u003e Single Cell Sequencing Analysis \u003c/li\u003e\n      \u003cli\u003e Basic PatchClamp: Patch-Clamp Analysis of preprocessed IV Traces \u003c/li\u003e\n      \u003cli\u003e Games and Fun \u003c/li\u003e\n     \u003c/ul\u003e\n     \nYou will get an overview about different data types retrieved from next-generation sequencing, electrophysiological measurements (Fura Data, Patch-Clamp)\nand also from tabular data representing parkinson data and diabetis data which enables us to perform certain predictions\n     \n\u003ch2\u003e How to set up a virtual enviroment using conda \u003c/h2\u003e\n\u003cbr\u003e\n\u003cul\u003e\n\u003cli\u003eFirst download and install miniconda, add it to your path variable (selecting the checkbox \u003c/li\u003e\n\u003cli\u003eOpen command line in Windows \u003c/li\u003e\n\u003cli\u003eType conda to see if everything is functional \u003c/li\u003e\n\u003c/ul\u003e\n\u003cbr\u003e\n\nThe execute the following:\n\n```\n# create a new enviroment\nconda create -n neurobeginner\nconda activate neurobeginner\n# check if neurobeginner is at the beginning of your line in the terminal/cmd\nconda install -c anaconda ipykernel\npython -m ipykernel install --user --name=neurobeginner\nconda install pandas\nconda install seaborn\nconda install matplotlib\n```\n\u003cbr\u003e\n\nOpen then Powershell and download the latest file for the scRNA sequencing analysis\n\n\n```\nInvoke-WebRequest https://raw.githubusercontent.com/mouzkolit/NeuroBeginner/main/Scripts/instrcuted_single_cell_analysis.ipynb -OutFile scRNA.ipynb\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmouzkolit%2Fneurobeginner","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmouzkolit%2Fneurobeginner","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmouzkolit%2Fneurobeginner/lists"}