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BECS 184 Data Analysis | IN-DEPTH STUDY GUIDE for IGNOU

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BECS 184 Data Analysis | IN-DEPTH STUDY GUIDE for IGNOU

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BECS 184 equips students with essential data analysis skills, covering statistical methods, econometric techniques, and data visualization tools. Develop proficiency in analyzing economic data and making informed policy recommendations with this practical course.
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Rs.299Rs.599   50% OFF

Rs.299Rs.599   50% OFF

Rs.299Rs.599   50% OFF


  • Statistical Methods: Learn basic and advanced statistical techniques for analyzing economic data sets, including descriptive statistics, hypothesis testing, and regression analysis.
  • Data Visualization: Master data visualization tools and techniques to effectively communicate insights from economic data, including graphs, charts, and interactive dashboards.
  • Econometric Techniques: Explore econometric models and methods for estimating relationships between economic variables, addressing issues such as endogeneity, multicollinearity, and heteroscedasticity
  • Applied Analysis: Apply data analysis skills to real-world economic problems, such as forecasting, policy evaluation, and market research, to inform decision-making and policy formulation.
Category : BACHELOR‘S DEGREE PROGRAMMES
Sub Category : Bachelor of Science (BSCG)
Products Code : BSCG-SEC-3.05
HSN Code : 490110
Language : English
Author : BMAP EDUSERVICES PVT LTD
Publisher : BMAP EDUSERVICES PVT LTD
University : IGNOU (Indira Gandhi National Open University)
Pages : 300
Weight : 199 GM
Dimensions : 21.0 x 29.7 cm (A4 Size Pages)



Details

BECS 184 Data Analysis is a foundational course designed for Bachelor of Economics (BEcon) students, focusing on developing essential skills in data analysis and interpretation for economic research and policymaking. The course provides students with theoretical knowledge and practical experience in analyzing economic data sets using statistical and econometric techniques.

The study material begins by introducing basic statistical methods used in economics, including measures of central tendency, dispersion, probability distributions, and hypothesis testing. Students learn how to summarize and interpret economic data, identify patterns and trends, and make inferences about population parameters from sample data.

Additionally, the course covers econometric techniques for analyzing relationships between economic variables and testing economic theories using regression analysis. Students learn how to estimate econometric models, interpret regression results, and assess the validity of statistical assumptions underlying regression analysis.

Moreover, the course emphasizes the importance of data visualization in economic analysis, teaching students how to create clear and informative graphs, charts, and tables to present economic data effectively. Students gain proficiency in using data visualization software and tools to communicate insights visually and enhance the impact of their research findings.

Furthermore, the course provides opportunities for applied analysis, where students apply data analysis skills to real-world economic problems and case studies. Through hands-on projects and assignments, students gain practical experience in conducting economic research, forecasting economic trends, evaluating policy interventions, and analyzing market dynamics.

In addition to its educational value, this study guide is invaluable for building analytical skills and preparing students for careers in economics, finance, policy analysis, and data science. Covering the entire syllabus comprehensively and spanning approximately 300-350 pages, it equips students with the knowledge, tools, and confidence needed to analyze economic data effectively and contribute to evidence-based decision-making in diverse economic contexts.

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