8744052891-93The Department of Computer Science and Engineering successfully conducted 5 days FDP on Data Science Using Python in collaboration with NITTTR Chandigarh from 20-24 January 2025. The FDP aimed to equip faculty members and participants with a comprehensive understanding of Data Science and its applications using Python. The program was designed to enhance teaching, research, and practical implementation capabilities in this cutting-edge field. The sessions were conducted by eminent professors and industry experts from NITTTR Chandigarh and other reputed institutions. Their extensive knowledge and real-world experience added significant value to the learning outcomes.
Key Topics Covered:
• Fundamentals of Data Science
• Python Programming for Data Analysis
• Machine Learning Algorithms
• Data Visualization Techniques
• Real-world Applications of Data Science
• Best Practices and Ethical
Considerations in Data Science
The FDP was conducted in a blended mode, combining hands-on practical sessions and interactive lectures. Participants worked on real-world datasets to gain practical insights into Python-based Data Science applications.
Total 65 faculties from CSE, IT, MCA and ECE department participated in the FDP. The coordinator of the FDP was Dr. Sonam Gupta, Professor CSE Department. The FDP was organised by Dr. Anuradha Taluja, Associate Professor, CSE dept., Mr. Pradeep Gupta, Assistant Professor, CSE Dept. Mr. Anuj Singh, Assistant Professor, CSE Dept, Mr. Sachin Jain, Assistant Professor, CSE Dept., Mr. Pronab Adhikari, Assistant Professor, CSE Dept. and Ms. Rekha Baghel, Assistant Professor, CSE Dept.
The schedule and speakers of the course are as follows:
| Day | 10:00 a.m. to 11:30
a.m. |
11:30 a.m. –
1:00 p.m. |
1:00 p.m.
–2:00 p.m. |
3:00 p.m.- 4:30 p.m. |
| 20.01.2025
(Monday) |
Inauguration and Introduction to Python Programming | Python Data Structures – List, Tuples, and Data Dictionaries |
L U N C H
B R E A K |
Understanding Data and handling imbalanced data, Outlier Detection Techniques |
| (Er. Shano Solanki) | (Er. Shano Solanki) | (Dr. Jagriti Saini) | ||
| 21.01.2025
(Tuesday) |
Introduction to Data Science and NumPy Library | Introduction to Pandas Library and File Handling | Data Visualization and Plotting using Matplotlib and Seaborn Library
(Er. Shano Solanki) |
|
| (Dr. Sanatan Sukhija) | (Dr. Sanatan Sukhija) | |||
| 22.01.2025
(Wednesday) |
Data Pre-processing ( Data Cleaning, Data Integration, and Data
Transformation) (Dr. Gaurav Kumar) |
Normalization and Standardization of Data, Web scraping
(Dr. Gaurav Kumar) |
Practice Assignments on Data Pre-processing
(Er. Shano Solanki) |
|
| 23.01.2025
(Thursday) |
Feature Engineering and Dimensionality Reduction | Singular Value Decomposition and PCA Algorithm
(Dr. Bhawna Saxena) |
Building a Spam Classifier using ensembled machine learning | |
| (Dr. Bhawna Saxena) | (Dr. Gaurav Kumar) | |||
| 24.01.2025
(Friday) |
Linear and Logistic Regression Techniques for Classification | Multiple linear Regression technique for Classification and Regularization | Quiz, Feedback, and Evaluation
(Er. Shano Solanki) |
|
| (Dr. Jagriti Saini) | (Dr. Jagriti Saini) |
Outside Experts:
Dr. Gaurav Kumar, Magma Research and Consultancy Services, Ambala Dr. Jagriti Saini, Founder & Owner, Eternal RESTEM
Dr. Sanatan Sukhija, Assistant Professor, Ecole Centrale School of Engineering, Department of Computer Science
and Engineering, Mahindra University, Hyderabad
Dr. Bhawna Saxena, Assistant Professor, Jaypee Institute of Information Technology, Noida
