Data Visualization and Analytics: Building Skills with GenAI

Program Overview

In the modern business environment, understanding and leveraging data visualisation and analytics is crucial for organisational success. Many organisations have benefited from business analytics to improve their performance and decision making. This makes business analytics an essential skill for today’s professionals. Recognising the growing demand for analytical acumen, the Program emphasises on the development of analytics as a critical skill set.

The "Data Visualization and Analytics: Building Skills with GenAI” program offers comprehensive training designed to equip participants with the foundational skills and knowledge needed to effectively use data visualisation tools and GenAI technologies.

Program Objectives

1. Understand the role of analytics in today’s business scenario for effective decision-making, improving processes, resolving problems, and gain a competitive edge.
2. Develop foundational skills and provide hands-on experience in Data Visualization and Analytics.
3. Build ability to communicate data-driven insights effectively to a non-technical audience by building story telling skills with data.
4. Apply data-driven insights to real-world business challenges across various functional domains.

Key Takeaways

1. Get a hands-on exposure to analytical tools and techniques.
2. Build technical and storytelling skills of communicating data insights.
3. Learn to make inferences from data and draw conclusions to aid decision-making
4. A primer to appreciate more complex technologies like Machine Learning.

Key Topics

1. Introduction to Business Analytics and Applications:
   1. Understand Analytics landscape in Business
   2. Explore applications of business analytics across various domains of Business with use cases
   3. Get a glimpse of various types of Data and Variables through the lens of Big Data
2. Data Visualization:
   1. Perform descriptive analytics on open-source datasets to identify data patterns and draw insights
   2. Build effective dashboards to consolidate actionable and useful information at a glance.
   3. Develop storytelling skills to communicate data-driven insights effectively to a non-technical audience using data
3. Inferential Analytics:
   1. Build Hypothesis to test the underlying problem and provide evidence-based conclusions
   2. Develop a good understanding of the population data by analyzing the samples obtained from it
   3. Making generalizations about the population by using various analytical tests and tools such as One-sample test, Two-sample test and Paired-sample test, Chi Square test and ANOVA
4. Regression and modelling:
   1. Simple and Multiple Linear Regression, least square method
   2. Model Building and estimation
   3. Stepwise regression
   4. Generalising a regression model for actual use

Pedagogy

This is a hands-on course, and, hence, most of the sessions will be focused on using specific tools and techniques to uncover insights from data. During the course delivery, the focus will be on learning by doing with the help of analytical tools such as Tableau and GenAI.

Who May Attend

1. Managers / Executives/ Professionals/ Students associated with data analytics or planning to have a career in data analytics.

Program Details

NOTE: Participants should have an active ChatGPT subscription during the program, which costs roughly Rs. 2,000 per month

Program Directors

Dr. Manisha Sharma

Dr. Manisha Sharma is a Professor in Operations and Data Science at the School of Business Management, NMIMS University, Mumbai. As a seasoned data analytics educator, trainer and practitioner with a rich experience of more than 20 years, Dr. Sharma has significantly contributed to the field by of Data Analytics through various Industry specific Programs.

Her scholarly work is widely recognized, with many articles published in SCOPUS-indexed journals, including the prestigious "International Journal of Information Management" (ABDC A*), "Technology Forecasting and Social Change" (ABDC A) and “International Journal of Consumer Studies” (ABDC A). Dr. Sharma's research interests encompass Mobile Applications, Social Media Analytics, and Supply Chain Analytics, reflecting her broad expertise and commitment to advancing these fields.

Dr. Abhinav K. Sharma

Dr. Abhinav, Assistant Professor at the School of Business Management, NMIMS University, Mumbai, is an expert in Operations and Data Science. With a strong research background in quality improvement, management, and metaheuristic search strategies, Dr. Abhinav's work has been featured in leading international journals. His teaching portfolio includes quality management, operations management, and business analytics.

Dr. Abhinav is also a certified Lean Six Sigma Green Belt, bringing a wealth of practical knowledge to his courses. He holds a B.Tech (Honours) in Mechanical Engineering from Himachal Pradesh University, a Master of Design in Mechanical Systems from IIITD&M Kancheepuram, and a PhD in Operations Management from the Indian Institute of Technology Bombay. As an accomplished trainer, Dr. Abhinav has conducted numerous programs in business analytics and operations management.