Why this course?

Description

HandE Learning is the largest Management and Degree Subject based E-learning institute of India with 200,000 students offers most comprehensive and practical internship programmes across more than 20 subjects in 100 plus topics or concepts. 
Collegiate Internship is the most Practical and Experiential Learning based programme includes complete subject learning, assignments and projects in different degree subjects, management and job function-based topics. This follows the complete guideline of UGC and NEP 2020 applicable to all the colleges and institutions across India. 

Collegiate is an IPO (Internship providing org) offers complete Internship for Undergraduate students in Online and Offline mode through various digital and tech labs in actual work situations in on-site experiential learning for real industry and research project in various subject for advance learning with application
1.The Internship is in actual work environment or digital/tech labs with outcome based learning and actual industry projects/assignments
2.Professional development through special sessions, exposure to digital and physical work environment through labs and industry environment 
3. Complete exposure to research aptitude by sharpening knowledge enhancement, analyzing, documentation, reporting and presenting. Exposure to emerging technologies in AI, ML, Analytics, digital tools
4.Entrepreneurial capabilities development by providing exposure and knowledge on how an organisation and business runs and required capabilities or functions to manage that.

The following structure for Internship would be followed
1.    Mentors and Supervisors would be allocated
2.    Mentors would be experienced people like research scientists, academicians, industry professionals, entrepreneurs and other experts, etc 
3.    All projects would be individual or few group projects
4.    Internship would be linked to the outcomes of value-added/skill- development/ability enhancement.

Check: https://www.collegiate.info/ | https://www.collegiate.info/subjects 
 

Description:

This course provides students with the opportunity to gain practical experience in the field of data visualisation and storytelling through an internship. Students will work on real-world projects, enhancing their skills in data analysis, visualisation techniques, and effective storytelling. By the end of the internship, students will have a portfolio of visualisation projects showcasing their ability to effectively communicate data-driven insights.

Key Highlights:

• Gain practical experience
• Enhance data visualisation skills
• Develop storytelling abilities

What you will learn:

• Apply Data Visualisation Techniques
  Gain hands-on experience using tools like Tableau or Power BI to create interactive and impactful data visualisations.
• Craft Compelling Data Narratives
  Learn how to weave a story through data by connecting insights and creating visually engaging presentations.
• Build a Data Portfolio
  Create a portfolio of data visualisation projects to showcase your skills and experience to potential employers.
• Receive Mentorship
  Work closely with industry professionals who will provide guidance and feedback on your projects.
• Gain Practical Experience
  Apply theoretical knowledge in a real-world setting and enhance your data storytelling abilities.
• Network with Professionals
  Connect with experts in the field of data visualisation and storytelling to expand your professional network.
• Enhance Communication Skills
  Improve your ability to communicate complex data insights in a clear and compelling manner.
• Develop Critical Thinking
  Enhance your analytical skills by interpreting data and making informed decisions based on visualisations.

 

Assignment: Introduction to Natural Language Processing
Objective: To assess students' understanding of fundamental Natural Language Processing (NLP) concepts and their ability to apply these concepts to real-world scenarios.

Project: Aspect-Based Sentiment Analysis for Product Reviews
Objective: The process involves gathering product reviews from sources like Amazon, Yelp, or e-commerce websites, preprocessing the data, extracting aspects like battery life and screen quality, performing sentiment analysis on each aspect, and creating an interactive dashboard to visualize the results, showing sentiment trends for each aspect.

Assignment 2: Introduction to Machine Translation and Language Generation
Objective: To assess students' understanding of Machine Translation and Language Generation concepts and their ability to analyze and implement these technologies.

Project: Fine-Tuning Transformer Models for Domain-Specific Text Classification
Objective: The project aims to explore the effectiveness of fine-tuning Transformer models, specifically BERT (Bidirectional Encoder Representations from Transformers), for domain-specific text classification tasks. The primary objective is to demonstrate how pre-trained Transformer models can be adapted and optimized for specialized domains, improving classification accuracy and adaptability.