Business Management Skills:
30 hours of Bridge course on “Business Management Skills” was offered to the first year M.Com (FA) students at the beginning of the programme. Throughout the week students are exposed to various activities started with a brief overview of two years life in JNC, This course not only educated them for the pursuit of a career but it also train the students in such a way that they take part in the activities in a proactive manner, inculcating positive psychology with an intension of never give up; how to present themselves in this dynamic world and its importance; but not the least it educate the skills that students should poses to become an expert in the world of Finance & Commerce. The topics covered during the period are positive psychology, fiction of failure, attitude of gratitude, never give up, emotional intelligence, instructional design, life skills, basic finance & accounting skills, competitive skills, resume buildings, group discussion, email etiquette, case analysis, statistics for managers, technical analysis, investment awareness, financial modelling, portfolio construction, financial planning, etc., As an outcome it made them more independent and confident women’s at the end.

Data Analytics Using Statistical Package for Social Sciences:
In order to gain knowledge and work effectively on a statistical tool, there needs to be a training program on an SPSS Software. It is a tool that is widely used in Market Research, Surveys, Competitor Analysis, and Others. It is a comprehensive and flexible statistical and data analysis tool. It is one of the most popular statistical packages which can perform highly complex data manipulation and analysis with ease. The session starts with brief introduction about the software and introducing them to the platform, teaching them on how to install etc., series of sessions are conducted which helps the students in presenting a report with in-depth statistical capabilities, this enhances knowledge on effective data management in analyzing data easier and quicker, with a wide range of options with a better screening of the information as a preparation for further analysis. The topics covered during the period are introduction to data view & variable view, how to extract data or enter the data, defining the variables, scales, theoretical overview of parametric & non-parametric test and its computation in SPSS, testing of normality, reliability test, application of correlation & regression and its computation, significance values etc., from this students are able to learn on how to perform case selection, create derived data, and perform file reshaping. As research involves lot of survey work and time this tool helps to make our task complete in a better way - by identifying trends, developing predictive models and drawing informed conclusions.