About Resource person
Dr Naveen Pol, has six years of industry and eight years of academic experience. He received fellowship from ICSSR, MHRD for his full-time PhD work at Karnatak University. He is faculty for Business Analytics at ISBR College and his previous association was with MDIM West Bengal. He has near to 20 research publications in ABDC, Scopus, UGC Care, and peer reviewed journals. He has completed certification courses on analytics from IIM-K, Great Lakes, IIM-B to name a few.
Introduction
In the realm of education, the role of faculty is paramount. To ensure their continuous growth and enhance their teaching prowess, Dr. Naveen Pol, a distinguished educator and expert in instructional strategies, conducted a transformative 7-day Faculty Development Program (FDP). This comprehensive program aimed to equip faculty members with essential skills in R programming, exploratory analysis, hypothesis testing, correlation and regression analysis, and dimension reduction techniques.
Day One: Introduction to R Programming – Descriptive Analysis and 3D Plots
The Faculty Development Program commenced with a captivating session on R programming. Dr. Naveen Pol introduced the participants to the fundamentals of R, ranging from basic syntax to data structures and operations. The session extended into descriptive analysis, enabling faculty members to summarize and visualize data effectively. The participants were also introduced to the fascinating world of 3D plots, providing a unique perspective to data representation.
Day Two: Exploratory Analysis – Converting Non-Normal Data to Normality, Data Scaling, Data Wrangling, and Treating Outliers
The second session delved into exploratory analysis. Dr. Pol shed light on converting non-normal data to normality, which is essential for applying various statistical methods. Faculty members gained insights into data scaling techniques, ensuring consistency in data features. Data wrangling methods were also explored to prepare messy datasets for analysis, and participants learned to handle outliers, ensuring robust research outcomes.
Day Three: Hypothesis Testing – Addressing the Issues of Type One and Type Two Error through “Power of Tests” for Chi-Square and T-Tests
The third session focused on hypothesis testing, a fundamental aspect of research. Dr. Naveen Pol guided faculty members through the nuances of type one and type two errors and introduced the concept of statistical power. Participants learned to conduct hypothesis tests for Chi-Square and T-Tests, essential tools in various research domains.
Day Four: Hypothesis Testing – Addressing the Issues of Type One and Type Two Error through “Power of Tests” for ANOVA (Post hoc analysis)
Building on the previous session, day four delved into hypothesis testing with a specific focus on ANOVA. Faculty members explored post hoc analysis, a critical step in analyzing data involving multiple groups. By understanding the power of tests, educators were better equipped to draw reliable conclusions from their research findings.
Day Five: Correlation and Regression Analysis – Cause and Effect, and Predictive Analysis. Univariate, Bivariate, and Multivariate Analysis
The fifth session illuminated the world of correlation and regression analysis. Participants learned to identify cause-and-effect relationships and predict outcomes based on data patterns. Univariate, bivariate, and multivariate analysis techniques were covered, enriching the faculty’s understanding of relationships between variables.
Day Six: Dimension Reduction Techniques – Confirmatory Factor Analysis (Factor Analysis and Principal Component Analysis)
In the penultimate session, Dr. Pol introduced dimension reduction techniques, including confirmatory factor analysis, factor analysis, and principal component analysis. Faculty members discovered how to distill essential information from complex datasets, simplifying data interpretation and representation.
Day Seven: Dimension Reduction Techniques – Cluster Analysis (Hierarchical and K-Means)
The final session explored cluster analysis, a powerful technique for grouping similar data points. Faculty members learned both hierarchical and K-Means clustering methods, enabling them to discover patterns and gain insights from their data more effectively.
Testimonial by Dr. Naveen Pol, Associate Professor at ISBR College
“The Online Seven Days Faculty Development Program on Data Analytics using R Programming, is intended to unleash new dimensions to data analytics. It is often observed that academicians are buffeted with challenge in substantiating their research work with novel analytical avenues. The program is unique in its nature as it unfolds the nuances of radical analytical techniques stretching their reach beyond conventional practices. Relevance of data scaling and data conversion to normality are often overlooked as they are followed with limited literature evidence. The hypothesis testing are head winded with probability of type one and type two errors and this program paves way in overcoming such instances with methods of power tests. The program also provides detailed understanding on appropriate analytical tools to be used for different data types based on the scales of measurement. Research enthusiasts will be by large benefitted with radical tests such as comparison of forecasting techniques and formulation of unsupervised machine learning algorithms.”
Conclusion:
The 7-day Faculty Development Program, led by Dr. Naveen Pol, proved to be a transformative experience for all participants. From mastering R programming and exploratory analysis to understanding hypothesis testing, correlation and regression, and dimension reduction techniques, the faculty members emerged as empowered educators, equipped with invaluable skills to enrich their teaching methodologies and research practices.
As the program concluded, the participants expressed their gratitude to Dr. Pol for his guidance and expertise, and eagerly anticipated applying their newfound knowledge in their classrooms and research projects. The impact of this Faculty Development Program will undoubtedly reverberate throughout their educational institutions, shaping the future of learning and research. Dr. Naveen Pol’s dedication to faculty development has truly paved the way for a brighter and more innovative academic community.