06 Aug 2024 - 09 Aug 2024 | Organized by: Department of Information Technology, Computer Science & Engineering, and Emerging Technology Website  | Registration Form  | Brochure

The Faculty Development Programme (FDP) on “Data Science using R Programming” is designed to provide participants with comprehensive knowledge and practical skills in the field of Data Science. The FDP will cover key areas including data analysis, statistical methods, machine learning algorithms, data visualization, and deep learning using R programming. This program aims to equip faculty members, industry professionals, and Ph.D. scholars with the necessary tools and techniques to effectively analyze and interpret data, enabling them to contribute to academia and industry advancements. The FDP will also include practical sessions, case studies, and discussions on best practices in data handling and model deployment. Participants will have the opportunity to learn from experienced resource persons and engage in interactive sessions to enhance their understanding of the latest trends and technologies in Data Science​

Topics Covered:

• Introduction to Data Science & R Programming
• Explanatory Data Analysis (EDA)
• Probability and Statistics for Data Science
• Decision Trees and K-Nearest Neighbors
• Regression and Classification Models
• Data Visualization using R
• Clustering Models
• Deep Learning with TensorFlow and Keras
• Case Studies and Real-world Applications
• Best Practices in Data Cleaning and Preparation
• Model Deployment and Monitoring

Venue:

• D-Block, MGIT, Gandipet, Hyderabad.

Key Details:

• Dates: August 6th – 10th, 2024
• Registration Link: https://forms.gle/DQjmLygp1fZ3yZd67
• Eligibility: Open to faculty members, industry professionals, and Ph.D. scholars from AICTE-approved technical institutions.
• Registration Fee: None (Free of charge)
• Certification: Participants who attend all sessions and complete the required feedback forms will receive certificates and access to course materials.

Guidelines:

• Platform: The FDP will be conducted offline. Participants are expected to be present on campus for the entire duration of the program.
• Registration and Communication: After submitting the registration form via the provided link, participants will receive a link to join a WhatsApp group. This group will serve as the primary channel for distributing FDP materials, updates, and important information.
• Attendance and Certification: Certificates will be awarded only to those participants who attend all sessions and submit the required feedback forms for each day.
• Limited Seats: Registration is on a first-come, first-served basis. We encourage early registration as seats are limited.

Telegram/WhatsApp group:

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Resource Persons: 

• C. Soundaryaveni, Senior Technology Specialist, QuantumNique Solutions.

Organizing Committee 

Chief Patrons:

• Sri. Praveen D Reddy, Chairman, CBES.
• Sri. J Pratap Reddy, Secretary, CBES.

Patrons:

• Prof. G ChandraMohan Reddy, Principal, MGIT.
• Prof. K Sudhakar Reddy, Vice Principal & HoD MEC, MGIT.

Convenor:

• Prof. D. Vijaya Lakshmi, Head, Dept. of IT, MGIT.
• Prof. C.R.K. Reddy, Head, Dept. of CSE, MGIT.
• Prof. M. Rama Bai, Head, Dept. of ET, MGIT.

Co-Convenor: 

• Prof. M. Rudra Kumar, Professor, Dept. of IT, MGIT.

Coordinator:

• Ms. B Meenakshi, Assistant Professor, Dept. of IT, MGIT.
• Mr. Bapanapalli Lokesh, Assistant Professor, Dept. of IT, MGIT.
• Ms. Chinnakka Sudha, Assistant Professor, Dept. of IT, MGIT.
• Ms. V Veena, Assistant Professor, Dept. of IT, MGIT.

Organizing Committee Members: 

• Mr. B. Tulasi Dasu, Assistant Professor, Dept. of IT.
• Ms. A Amulya, Assistant Professor, Dept. of IT.