Important Dates

• Mode: Virtual (Online)

• Seats: Limited (early registration recommended)

Registration Fee

National Participants (India): 

Faculty/Research Scholar: 299 INR

Student: 249 INR

International Participants: USD 15

Perks: 📜 E-Certificate | 🎥 Recordings | 🤝 Expert Interaction

Overview

This intensive one-week virtual workshop is designed to build a strong foundation in Python programming while advancing toward real-world applications in Artificial Intelligence, Machine Learning, and Data Science. The program combines theoretical concepts with practical hands-on sessions, enabling participants to develop problem-solving skills and implement data-driven solutions across domains such as healthcare, business analytics, and academic research.

Key Highlights:

• Comprehensive coverage from basics to advanced Python concepts
• Hands-on coding sessions with real-world datasets
• Introduction to AI, ML, and Data Science workflows
• Applications in healthcare analytics, business intelligence, and academia
• Interactive learning with practical assignments and mini-projects

What You Will Learn

• Python fundamentals: syntax, variables, data types, operators
• Data structures: lists, tuples, sets, dictionaries
• Functions: built-in, user-defined, lambda, and recursive
• Data handling and analysis using NumPy and Pandas
• Data visualization with Matplotlib, Seaborn, and Plotly
• Introduction to Machine Learning using Scikit-learn
• Basics of Deep Learning with TensorFlow, Keras, and PyTorch

Targeted Participants

The Hands-On Summer Camp is designed for a diverse group of learners who want to build practical, industry-relevant skills through experiential learning:

• Undergraduate Students
  (B.Tech, B.Sc., BCA, BBA, etc.) seeking hands-on exposure beyond classroom theory
• Postgraduate Students & Research Scholars
  (M.Tech, M.Sc., MCA, PhD) aiming to strengthen research, data analysis, and modeling skills
• School Students (Senior Secondary)
  Interested in early exposure to coding, data analytics, and problem-solving
• Faculty Members & Academicians
  Looking to integrate practical tools and modern methodologies into teaching and research
• Data Science & Technology Enthusiasts
  Beginners who want to enter the fields of data analytics, AI, and computational modeling
• Industry Professionals / Working Executives
  Seeking upskilling or reskilling in data analysis,  Python, or related technologies
• Startup Founders & Innovators
  Interested in applying data-driven decision-making and analytics in business contexts

Day-wise Course Content

Day 1: Python Basics & Programming Foundations

• Introduction to Python and its ecosystem
• Installation & development environments (Jupyter, IDEs)
• Python syntax and structure
• Variables and data types (int, float, string, boolean)
• Operators (arithmetic, relational, logical)
• Basic input/output operations

Day 2: Control Flow & Modular Programming

• Conditional statements (if, elif, else)
• Looping constructs (for, while)
• Nested loops and control statements (break, continue, pass)
• Error and exception handling
• Introduction to modular programming

Day 3: Functions in Python

• Built-in functions
• User-defined functions
• Function arguments (default, keyword, variable-length)
• Anonymous (Lambda) functions
• Recursive functions
• Higher-order functions

Day 4: Data Structures & Comprehensions

• Lists, tuples, sets, and dictionaries
• Operations and methods on data structures
• Nested data structures
• List, dictionary, and set comprehensions
• Efficient data handling techniques

Day 5: Scientific Computing & Core Libraries

• Introduction to libraries and package management
• NumPy for numerical computing
• SciPy for scientific computing
• Array operations and mathematical functions
• Performance optimization with vectorization

Day 6: Data Analysis & Visualization

• Pandas for data manipulation and analysis
• Data cleaning and preprocessing
• Data visualization using:
  • Matplotlib
  • Seaborn
  • Plotly
• Exploratory Data Analysis (EDA)

Day 7: Machine Learning & Real-World Applications

• Introduction to Machine Learning concepts
• Scikit-learn basics (classification, regression)
• Introduction to Deep Learning:
  • TensorFlow
  • Keras
  • PyTorch
• Model building and evaluation
• Applications in:
  • Data Science
  • Healthcare analytics
  • Business analytics
  • Automation & scripting
  • Web & software development

Speaker:

Dr. Mehar Chand is an esteemed Professor in the Department of Mathematics at Baba Farid College of Engineering and Technology, Bathinda, India. With a dedication to teaching, he imparts knowledge in various mathematical courses while actively supporting students and the broader interdisciplinary community. He has more than 15 year of teaching UG and PG classes. Under his supervision 3 scholoars awarded Ph.D degree. He has been appointed as a member of the Board of Post Graduate Studies in Mathematics at Punjabi University for the session 2022-2023. His research interests span across several areas, including fractional calculus and its applications, Mathematical Modeling, Numerical Methods, Computational Mathematics, Special functions, Hypergeometric functions, Mathematical Physics, ANN, ML, and DL. Dr. Mehar Chand’s scholarly contributions are significant, with over 70 research papers published in national and international journals, including those indexed in SCI, SCIE, and SCOPUS. Additionally, he has authored 5 Book Chapters published by Springer.Dr. Mehar Chand is an active participant in academic discourse, having delivered more than 50 invited talks, expert talks, Keynotes, and plenary talks at national and international workshops, faculty development programs, and conferences. He has also organized over 50 national and international Training Workshops, FDPs, Webinars, and Seminars.Beyond academia, Dr. Mehar Chand is the Founder and President of the MathTech Thinking Foundation (MTTF), a registered organization under Section 8 of the Companies Act 2013, Ministry of Corporate Affairs, Government of India. MTTF represents an International Scientific Association comprising esteemed experts in Science, Technology, Engineering, and Mathematics (STEM). The foundation’s initiatives include organizing conferences, workshops, symposiums, faculty development programs, and training sessions, while also providing sponsorship and technical support for such events.

Organised by:

MathTech Thinking Foundation, Punjab, India

MathTech Thinking Foundation (Udyam-Registered MSME, Section 8 Company, 12AB) is an internationally recognized organization registered under the Companies Act 2013, Ministry of Corporate Affairs, Government of India. Aligned with the UN Sustainable Development Goals, the foundation advances STEM education and research through innovation, collaboration, and inclusive knowledge sharing.

• Contact & Registration

• WhatsApp: Faiz Ahmed (+91-70877-59319) Mehar Chand (+91-978-092-0053)