💻 Software & Environment Setup
Data Science & Analytics
The computational toolchain and environment used throughout Basics of Statistical Modeling.
Basics statistical modeling courseBasics statistical modeling online trainingBest basics statistical modeling certificationBasics statistical modeling for researchersBasics statistical modeling hands-on workshopLearn basics statistical modeling
# 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 Statistical Modeling
e-Certificate and e-Marksheet issued on successful completion.
