Will I receive a certificate after completing this course?

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from DSTC (DSTC) that you can showcase on your CV and LinkedIn profile.

What are the prerequisites for this course?

No prior experience is required. This course is designed for beginners and takes you step by step from the basics to advanced topics.

How long will I have access to the course materials?

You will have access to all course materials for the duration of 6 Weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

Is mentor support available during the course?

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Data Science. Our mentors are industry experts and experienced professionals.

💻 Software & Environment Setup

Data Science & Analytics

The computational toolchain and environment used throughout Python for Biological Data Science: A Beginner’s Guide to Programming.

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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 Python for Biological Data Science: A Beginner’s Guide to Programming

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

View full course →

Scholar Registration

For scholars whose department, college or employer pays the fee. We raise a proforma invoice to your institution; you attach the signed processing letter or bank slip.