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DSTC-A46 Online (e-LMS) Advanced Postgrad

Sports Analytics Course | Learn Data Analysis in Sports

by - DSTC

Master Sports Analytics Course | Learn Data Analysis in Sports in 4 weeks through hands-on, project-based online training with DSTC.

★★★★★ Be the first to review • 4 Weeks · 40 hrs • e-Certificate Included
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From ₹200 + GST

💻 Software & Environment Setup

Data Science & Analytics

The computational toolchain and environment used throughout Sports Analytics Course | Learn Data Analysis in Sports.

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# Recommended conda environment
conda create -n dstc_env python=3.11 -y
conda activate dstc_env
pip install numpy pandas scikit-learn matplotlib seaborn
Python 3.11 + Jupyter
Interactive analysis notebooks
pandas / NumPy
Data wrangling & numerics
scikit-learn
Modelling & evaluation
Plotly / Seaborn
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 Sports Analytics Course | Learn Data Analysis in Sports

e-Certificate and e-Marksheet issued on successful completion.

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📄 Upload Sponsorship Slip / Letter

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