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FDP on Data Analysis (Qualitative and Quantitative) using R, Power BI and Smart PLS-SEM 2024

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Date06 Aug 202412:00 AM IST
LocationBengaluruOffline
EntryPaidExternal registration
FACULTY DEVELOPMENT PROGRAMS
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About the event

FDP will provide a systematic understanding of qualitative and quantitative analysis using R, Power BI and Smart PLS-SEM for academic faculties, research scholars, and students. FDP would mainly teach modern text processing techniques like sentiment analysis and thematic analysis and how to use these techniques in the real world with R. It would also teach quantitative analysis using the Structural Equation Modeling (SEM) method using PLS-SEM, which is commonly used in social sciences research (especially in marketing, organizational behavior, human resource management, psychology, behavioral finance, and behavioral economics). The FDP will be based on theoretical and practice-oriented sessions, providing a working knowledge of R, Smart PLS-SEM, and Power BI, Statistical software for data analysis and visualization.

Events & highlights

Theory and Hands-on Sessions on R, PowerBI and Smart PLS- SEM

Meet the organizer

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Event type details

Faculty Development Program

Guests

Dr. Dhaval Maheta
Professor, Veer Narmad South Gujarat University, Surat.
Dr. Tanveer Kajla
Assistant Professor, NALSAR University of Law, Hyderabad.
Dr. Hitesh Parmar,
Professor,
Sardar Patel University, Gujarat.

Paper Presentation Topics by Branch

Topics covered:
Text Analytics using R
Partial Least Square (PLS) based Structural Equation Modelling (SEM)
Data Visualization using Power BI

Registration deadline / Important dates

3rd August, 2024

Registration Fees

Industry- Rs. 7500/- for individual
Rs. 7000/- for Group registration
Academician- Rs. 5000/- for individual
Rs. 4500/- for Group registration
Full-time Research Scholars- Rs. 3000/- for individual
Rs. 2500/- for Group registration
UG/PG Students- Rs. 2000/- for individual
Rs. 1500/- for Group registration

Accommodation Details

Participants will have to bear their own expenses for travel, boarding and lodging.

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