The 6 Days AICTE ATAL FDP on Big Data and Business Analytics was conducted from 9 October to 14 October. There were 60 Registrations and 46 participants attended the FDP from across the country including the Guest Speakers, Professors, Research Scholars and Students. A brief report of the same is presented below: -
DAY 01 SESSION 1 & 2:
Topic: APPLICATION OF STATISTICS IN BUSINESS DECISION MAKING & CREDIT RISK ASSESSMENT USING SPSS.
Resource Person: Dr. Balamurugan Balusamy
The Program started with the online session from AICTE team and their declaration of opening the FDP for entire nation on October 9, 2023. Later the blessing from Saraswati were taken by lighting of the lamp ceremony by resource person Dr. Balamurugan, coordinator Dr. Shivani Kapoor and co-coordinator Mr. Rajul Gupta, Group Director Dr. Vandana Arora Sethi and participants.
The Group Director presented the welcome address to the participants and guests while felicitated the Resource person with a planter before the first Session began. She thanked AICTE for giving the opportunity to conduct Offline FDP on Big Data and Business Analytics. Coordinator of FDP informed the participants about the FDP guidelines and assessment criteria along with making groups of 5 amongst the participants for assessment purpose. Later she invited the resource person and handed over the stage to him.
The Resource person Dr. Balamurugan Balusamy took the session on decision-making and discussed the importance of using data and statistics to make informed business decisions. He also took a session on Credit risk assessment which is a critical process for financial institutions to make informed lending decisions. He emphasised that Predictive analytics, powered by tools like Microsoft Excel and VBA, can enhance the accuracy and efficiency.
He also discussed Article with the participants to give an insight into research and application of Big data for research and development.
DAY 02 SESSION 3 & 4:
Topic: DBMS & RDBMS FOR FUNCTIONAL BUSINESS USING SSMS and DESCRIPTIVE ANALYTICS USING POWER BI.
RESOURCE PERSONS:
1. MS. NEHA ISSAR
2. DR. NEETU KAMRA
Day 2 began with a welcome speech by the coordinator and presenting a planter to the Resource persons.
The first session started with a brief introduction of the topic by Ms. Neha Issar, IBM Spark & Scala Certified and Assistant Professor LBS on the importance of DBMS & RDBMS and how it is used for functional business using SPSS. The objectives of the session were to provide hands on training to students on MySQL, to develop practical approach of students towards Data Base Management and to build foundational knowledge of students regarding RDBMS. Topics covered during the session were mainly Introduction to SQL and RDBMS, SQL and its installation, Features of SQL, Applications of SQL, Entity Relationship Diagram, Types of SQL Command, SOL Command Structure, SQL Datatypes, SQL Operators.
The session was really an informative one and served as a great medium of understanding MySQL and RDBMS. The practical aspect of the session was thoroughly enjoyed by the participants.
The second session started with a brief introduction of the topic by Dr. Neetu Kamra, Head Centre of Data Analytics and AI Initiatives at Lloyd Business School. She emphasized on Chatbot using descriptive analysis through Power BI. The session was conducted in a classroom where participants learned about making Chatbot using Watson Assistant and Descriptive analytics techniques using PowerBI.
She also discussed the theoretical part of article, where the importance of sustainability mentioned. Later, she started teaching about Chatbots as the solution of sustainability. The session was divided into two parts:
Chatbot using Watson Assistant: In this part of the workshop, students learned about the basics of Chatbot and how to create a Chatbot using Watson Assistant. The workshop covered the topics like Introduction to Chatbot, how to create a Chatbot using Watson Assistant etc.
Descriptive analytics techniques using PowerBI: In this part participants learned about the basics of Descriptive analytics and how to use PowerBI to create different types of graphs and charts. At the end, she answered all the questions that the participants had and the session ended with a thank you note from DR Neetu Kamra. Overall, the session was fruitful and everyone gained an overall understanding of building a Chatbot and Dashborad.
DAY 03 SESSION 5 & INDUSTRIAL VISIT:
TOPIC: PREDICTIVE ANALYTICS USING SPSS MODELER
RESOURCE PERSON: MS. ROHINI MATTA, IBM
Day 3 began with a welcome speech by the coordinator and presenting a planter to the Resource person from Industry, Ms. Rohini Matta, subject matter expert from IBM, Gurgaon.
Ms. Rohini (AI and Cloud Computing) from IBM was the resource person for Day 3 on 11 October 2023. She explained us how SPSS Modeler helps users build accurate predictive models quickly and deliver predictive intelligence to individuals, groups, systems, and enterprises. She mainly focused on predictive analytics and how predictive analytics helps businesses and gave a hands-on practice on SPSS Modeller to the participants. She explained how SPSS Modeler helps users build accurate predictive models quickly and deliver predictive intelligence to individuals, groups, systems, and enterprises.
Ms. Rohini also told how numerous companies, educational institutions, and federal, state, and local government organizations across the globe are using IBM SPSS Modeler to maximize the value of their enterprise data, enhance business operations, and make better decisions in areas like Client intimacy and customer experience administration, Deception and risk reduction, Planning and management of human capital, Inventory control, Effectiveness of marketing and Excellence in operations.
Ms. Rohini helped the participants to install SPSS Modeler 18.4 and also explained the working by preparing a model on the software. She used tables, excel, filter, type, select, merge and different sources to prepare a model and then she explained how to connect the sources and how to churn it.
The session highlighted the reasons to use SPSS Modeler to improve outcomes and reach goals. SPSS Modeler analyses almost all types of data regardless of where the data is stored, regardless of whether the data is structured or unstructured. SPSS Modeler offers analytics that range from descriptive analytics to advanced algorithms and that include automated modelling, text analytics, entity analytics, social network analysis, decision management and optimization.
Industrial Visit to IBM Gurgaon
The highlight of the visit was the enlightening sessions on AI and Automation conducted by subject matter experts, with Ms. Aarti Sood, Head of Automation at IBM, leading the way. Her insights and knowledge shared during the presentation were truly commendable, and participants of FDP found them invaluable for their academic and professional development.
Project execution skills are critical abilities that enable individuals and teams to carry out projects effectively and efficiently from start to finish. These skills are essential in various fields and industries and can make a significant difference in project success. Another significant area of discussion for participants were the project execution development cycle which students were educated on for a complete technical orientation of project delivery.
It was a remarkable experience during this visit, combining learning, enjoyment, and a genuine sense of corporate exposure. The insights gained during this visit will undoubtedly contribute to their academic growth and help them make informed career choices.
DAY 04 SESSION 6 & 7:
TOPIC: DATA ANALYSIS USING PYTHON
RESOURCE PERSON: DR. SAURABH AGARWAL
Day 4 began with a welcome speech by the coordinator and presenting a planter to the Resource person Dr. Saurabh Agarwal, Professor from HBTU Kanpur.
Dr. Saurabh Agarwal Professor, Machine Learning & Data Analytics, from HBTU, Kanpur was the Resource person for Day 04 on 12 October, 2023. This FDP on Fundamentals of Python was organized to introduce the participants to the Python programming language. Python is a general-purpose programming language that is known for its simplicity and readability. It is widely used in a variety of domains, including web development, data science, machine learning, and artificial intelligence.
He conducted the FDP by introducing the participants with the Fundamentals of Python and Python programming language and how data analysis is done with help of Python. He also gave hands on practice session to the participants. All participants had a learning experience.
Dr. Saurabh Agarwal during the sessions by explaining us about data, variety of tools used for analysing data, types of data, some popular licenced and open-source applications of data. Then he moved on with Elaborating about Python. He introduced Python as an open-source data and a statistical language for analysing data and getting insights which helps us in decision making process. He further explained about importing datasets using Excel and a distribution package Anaconda, to load the relevant libraries for importing and doing analysis, the various environments for working on Python and the practical exposure of performing coding using Python.
DAY 05 SESSION 8 & 9:
TOPIC: INTRODUCTION TO BIG DATA, DEEP LEARNING, MACHINE LEARNING & LIFE SKILLS-EMOTIONAL INTELLIGENCE
RESOURCE PERSONS:
Day 5 began with a welcome speech by the coordinator and presenting a planter to the Resource persons Dr. Nallakaruppan M.K Assistant Professor of IT& Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu and Dr. Fehmina Khalique, Professor HR/OB from Lloyd Business School.
Dr. Nallakaruppan M.K conducted a session 8 on Big Data, Deep Learning, Machine learning. He also conducted a practical experience on Orange Tool to handle and analyse data in analytics mainly for predictive analysis and creating models for research. He started the session by giving us a brief introduction to Big Data, Deep Learning and Machine learning. He explained that Big data is a term used to describe large and complex datasets that are difficult to process using traditional methods. Big data can be structured, unstructured, or semi-structured, and it comes from a variety of sources, such as social media, sensors, and customer transactions.
LIFE SKILLS-EMOTIONAL INTELLIGENCE
Dr. Fehmina Khalique started the session on Emotional intelligence (EI) by introducing its ability to perceive, understand, manage, and use one's own emotions and the emotions of others. It is a key skill for success in all areas of life, including personal relationships, work, and school. People with high EI are able to identify and understand their own emotions, recognize and understand the emotions of others, use emotional information to guide their thinking and behavior, manage their emotions effectively, build and maintain strong relationships.
Dr. Khalique explained that in the context of the current time, emotional intelligence is more important than ever. The world is constantly changing, and we are all facing new challenges every day. Emotional intelligence can help us to adapt to change, manage stress, and build strong relationships with others.
DAY 06 SESSION 10 & VALEDICTORY:
TOPIC: ARTIFICIAL INTELLEGENCE & EXPLAINABLE AI
RESOURCE PERSON: DR. NALLAKARUPPAN M K
Day 6 began with a welcome speech by the coordinator and introducing the Resource person Dr. Nallakaruppan M.K Assistant Professor of IT& Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu to the participants.
Dr. Nallakaruppan started the session by giving us Insights about AI and Explainable AI. He emphasised that AI is used in a wide range of applications, including healthcare, finance, transportation, and manufacturing. Moreover, he explained why AI is a powerful technology that has the potential to improve our lives in many ways and it is important to use AI responsibly and ethically. He gave an example that it is important to ensure that AI systems are not biased, and that they are used to promote human well-being.
He briefed the participants about the Explainable AI (XAI) which is a subfield of artificial intelligence that focuses on developing methods to make AI systems more understandable to humans. XAI is important because it can help people to build trust in AI systems, and to make informed decisions about how to use them. Overall, XAI is an important field of research that is helping to make AI systems more transparent and accountable. As AI systems become more and more powerful, it is important to be able to understand how they work and why they make the decisions that they do. Dr. Nallakaruppan explained the XAI techniques that can help us take better decisions and to ensure that AI systems are used in a responsible and ethical way.
Post Lunch the participants were given time for Assessment and later the Valedictory Ceremony took place. The Resource persons namely Dr. Balamurugan Balusamy, Dr. Nallakaruppan MK, Ms. Rohini Matta, Dr. Neetu Kamra, Ms. Neha Issar, Dr. Fehmina Khalique and Dr. Saurabh Agarwal were presented a memento by Group Director Dr. Vandana Arora Sethi. Vote of thanks was given by Co-coordinator Mr. Rajul Gupta where he thanked all the Resource persons and participants for attending the Workshop and AICTE for giving a chance to Lloyd Institute of Management & Technology to conduct this FDP. The FDP ended with group pictures of participants with the resource persons.
