“Primary and Secondary Data Analysis”
The PG Department of Commerce organized a workshop on ‘Primary and Secondary Data Analysis’ on 13th, 14th, 15th October and 4th November 2022 to provide practical training to the students on data analysis using various statistical techniques and software thereby helping the students in analyzing data in dissertation. The Workshop was conducted over four days by inviting faculty members having expertise in various statistical techniques and software.
The first two sessions were held on 13th and 14th October 2022 from 12:15 to 1:15 pm in Room No.T-302. The Resource Person for these two days sessions was Mr. Gajanan Haldankar, Assistant Professor in Commerce from the Department of Commerce of the College. Mr. Gajanan delivered a session on how to analyze primary data using Jammovi software. On Day 1, the session started with a welcome note and a brief introduction of the Resource Person by Asst. Prof. Twinkle Fernandes. Thereafter, Mr. Gajanan started the session by giving a brief overview on research along with the steps of research process. Thereafter, he guided the students on how to download the Jammovi software. He also explained the various types of variables, measurement scales, parametric and non-parametric tests. On Day 2, Mr. Gajanan demonstrated on how to prepare a questionnaire using Google forms, followed by necessary guidance to download the responses and transfer the data from excel to Jammovi software using coding. Thereafter he explained in detail how to analyze the data using Descriptive statistics and Chi-Square test. The session concluded at 1.30 pm with a Vote of Thanks proposed by Mr. Anand Kumar.
The third session of the workshop was held on 15th October 2022 in Room No. F-101 from 9:00 am to 1:30 pm. The Resource Person for this session was Dr. Dhaneesh Kumar, Assistant Professor in Economics, Dnyanprasarak Mandal’s College and Research Centre, Assagao. Dr. Dhaneesh delivered a session on how to analyze secondary data using Gretl software. The session started with a welcome note by Asst. Prof. Valencia Baptista and a brief introduction of the Resource Person by Ms. Kanak Indoria. Dr. Dhaneesh commenced the session by giving a brief overview of secondary data analysis. Thereafter, he explained meaning, uses and methodology of Econometrics; Descriptive Statistics; CLRM Assumptions, Coefficient of Determination, Adjusted R, Hypothesis testing and Linear Regression Models. He also provided clarity in these concepts by doing practical computations using Gretl Software. The session concluded at 1.40 pm with a Vote of Thanks proposed by Ms. Vanessa Carasco.
The fourth session of the workshop was held on 4th November 2022 in Room No. T-302 from 9:00 am to 1:30 pm. The Resource Person for this session was Dr. Harip Khanapuri, Associate Professor in Commerce, Goa Business School, Goa University. Dr. Harip delivered a session on how to analyze secondary data using E-Views software. The session started with a welcome note by Asst. Prof. Valencia Baptista and a brief introduction of the Resource Person by Ms. Jyoti Kumar. Dr. Harip commenced the session by defining the term econometrics, its uses and its impact on the modeling equation and correction i.e.,Vector Auto Regression (VAR) model and Volatility model. He also demonstrated how to test stationarity, lag length, stability, auto correction, mean, variance, impulse response, Augmented Dickey test using the examples of stock market in E-Views software. The practical aspects were supported by theory with respect to the role, usage, relation, outcome, criteria to accept or reject hypothesis and correlation model. The session concluded at 1.30 pm with a Vote of Thanks proposed by Mr. Anand Kumar.
The sessions were very informative and interactive and the Resource Persons were also helpful in solving the queries of the students. It was an effective session, as the students of M. Com Part II will be able to utilize these statistical skills for the interpretation of the data in their dissertation. 26 students attended the workshop.