The syllabus for PGD in Statistical Methods & Analytics includes statistics, data analysis, probability, machine learning, and practical projects.
Syllabus & Subject: PGD in Statistical Methods & Analytics Course
The syllabus for the PGD in Statistical Methods & Analytics course is designed to provide students with a comprehensive understanding of statistical concepts and data analysis techniques. The program typically covers foundational topics in mathematics and statistics, including probability theory, hypothesis testing, regression analysis, and multivariate analysis. Students also delve into data manipulation and visualization using software tools like R and Python. Advanced coursework often includes time series analysis, machine learning, and data mining, enabling students to handle complex data sets and make data-driven decisions. Additionally, the curriculum may incorporate practical projects and real-world case studies to apply statistical methods in various industries, preparing graduates for careers in data analysis, business intelligence, and research. Overall, the syllabus equips students with the skills and knowledge necessary to excel in the dynamic field of statistical methods and analytics.
| S.No | Subjects |
| 1 | Agricultural Farm Management |
| 2 | Climate Change: Agriculture and Food Security |
| 3 | Basic Probability and Statistical Methods |
| 4 | Rural Sociology |
| 5 | Computer Operation & Programming |
| 6 | Data Analytics and Experimental Design |
| 7 | Agricultural Economics and Ag. Marketing |
| 8 | Natural Resource Management |
| 9 | Database Management & Business Analytics |
1 Years
Post Graduate
Computer Science and IT
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