Important Information

📅 Duration: 20–30 June 2025
⏱️ Time: 7:00 PM – 9:00 PM (IST)
💻 Mode: Online (Live Interactive Sessions)

💰 Registration Fee:

• National Participants: ₹500 → Now at ₹125 (Limited-Time Offer)

• International Participants: $50 → Now at $10 (Special Discount)

🔗 Note: E-certificate will be provided to all active participants upon successful completion.

Registration Links

Interested participants are requested to choose the appropriate option based on their location:

Objective

Python Essentials for Data Science: 10-Day Practical Training is a specially curated virtual program designed for beginners who aspire to step into the world of statistics, data analysis, and scientific computing using Python. This immersive camp introduces participants to the core principles of data science, blending statistical thinking with hands-on coding to unlock insights from data. With a focus on real-world applications, participants will learn to clean, analyze, visualize, and interpret data using powerful Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn. Each day is structured with interactive live sessions, practical exercises, quizzes, and mini-projects to reinforce learning and build confidence.

Learning Outcomes

By the end of the camp, participants will be able to:

• Undergraduate and postgraduate students from any discipline (Science, Engineering, Commerce, Humanities)
• Especially suited for those pursuing Statistics, Mathematics, Computer Science, Data Science, Economics, Biology, Environmental Science, etc.
• Early-stage researchers who want to integrate Python and data analysis in their academic work
• Educators interested in incorporating computational thinking into their teaching practice
• Individuals curious about data science, statistics, or Python programming

Key Highlights:

🔹 10 Days of Expert-Led Live Training – Daily 2-hour interactive sessions designed for beginners.

🔹 Beginner-Friendly Curriculum – No prior coding or statistics knowledge required.

🔹 Hands-on with Real Datasets – Practical experience using Python libraries like NumPy, Pandas, Matplotlib, and Seaborn.

🔹 Concepts + Coding = Complete Learning – Integrating core statistics with real-time Python coding.

🔹 Daily Practice Exercises & Mini Projects – Reinforce learning through guided assignments and real-world applications.

🔹 Mini Capstone Project – Apply your skills to explore and visualize a real-world dataset by Day 9.

🔹 Certificate of Completion – E-certificate to validate your participation and learning.

🔹 Accessible on Any Device – Sessions conducted on ZOOM with coding on Google Colab

🔹 Community & Support – Join an exclusive WhatsApp group for discussions, resources, and updates.

🔹 Career-Aligned Foundation – Build essential skills for data analyst, research, and AI/machine learning career tracks.

Who can participate?

This workshop is ideal for:

• 🎓 Undergraduate and Postgraduate Students from any discipline seeking to explore Python and Data Science

• 🧑‍🏫 Faculty Members and Researchers aiming to integrate Python into their academic or research work

• 💼 Industry Professionals and Beginners looking to transition into the field of Data Science

• 🌱 Anyone with a Curiosity to Learn Python and apply it to data-driven problems—no prior coding experience required!