Program Highlights:
Master Python for Business Analytics
Descriptive & Inferential Statistics
Data Visualization with Matplotlib & Seaborn
Real-World Case Studies & Regression Analysis
Who Should Attend:
🎓 Faculty members in management, analytics, and related fields
🔬 Research scholars seeking to apply data-driven methods
💼 Industry professionals aiming to gain deeper insights into business analytics
📊 Students interested in data-driven decision-making using Python
Program Schedule:
- Day 1 (1 April 2025): Introduction to Python for Business Analytics – Dr. Anoop
- Day 2 (3 April 2025): Key Python Libraries: NumPy & Pandas – Dr. Anoop
- Day 3 (7 April 2025): Descriptive Analytics & Data Visualization – Dr. Senthil
- Day 4 (9 April 2025): Inferential Statistics with Python – Dr. Nataraj
- Day 5 (11 April 2025): Simple & Multiple Linear Regression with Python – Dr. Nataraj
Timing: 3:00 PM – 5:00 PM IST daily (2 hours per day)
Mode: Online.
This schedule is thoughtfully designed to ensure participants can balance professional commitments while mastering key concepts.
Why Python?
Python’s versatility, ease of use, and powerful libraries (NumPy, Pandas, Matplotlib, Seaborn, Sklearn) make it a leading choice for business analytics, enabling quick, efficient data analysis and visualization.
Investment:
Register Now:
Don’t miss out on this opportunity to enhance your expertise in business analytics!
Let’s learn, grow, and lead together in this fast-evolving, data-driven landscape! 📊💡
