💻 Software & Environment Setup
Data Science & Analytics
The computational toolchain and environment used throughout Data Analysis with Pandas.
Data analysis pandas courseData analysis pandas online trainingBest data analysis pandas certificationData analysis pandas for researchersData analysis pandas hands-on workshopLearn data analysis pandas
# 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 Data Analysis with Pandas
e-Certificate and e-Marksheet issued on successful completion.
