💻 Software & Environment Setup
Data Science & Analytics
The computational toolchain and environment used throughout Basics of Gene Expression Analysis.
Basics gene expression analysis courseBasics gene expression analysis online trainingBest basics gene expression analysis certificationBasics gene expression analysis for researchersBasics gene expression analysis hands-on workshopLearn basics gene expression analysis
# Recommended conda environmentconda create -n dstc_env python=3.11 -yconda activate dstc_envpip install numpy pandas scikit-learn matplotlib seabornPython 3.11 + Jupyter
Interactive analysis notebooks
Interactive analysis notebooks
pandas / NumPy
Data wrangling & numerics
Data wrangling & numerics
scikit-learn
Modelling & evaluation
Modelling & evaluation
Plotly / Seaborn
Statistical visualisation
Statistical visualisation
Supported OS: Linux (Ubuntu 22.04+), macOS, or Windows via WSL2.
Hardware: 16 GB RAM minimum; a CUDA GPU helps for deep-learning modules.
Earn government-registered certification in Basics of Gene Expression Analysis
e-Certificate and e-Marksheet issued on successful completion.
