Enroll Course: https://www.udemy.com/course/rohitbasistgurjar-data-analysis-project-on-electoral-bond/
In today’s data-driven world, the ability to analyze and interpret data is invaluable, especially in the context of political finance. The course ‘Data Analysis Project on Electoral Bond in Python Colab’ on Udemy provides a comprehensive overview of data analysis using Python, focusing specifically on electoral bonds in India.
### Course Overview
This course takes you through a detailed examination of the electoral bond data provided by SBI Bank to the Election Commission of India, spanning from April 2019 to January 2024. It covers two main datasets: Purchase Data and Redemption Data, allowing learners to delve into the nuances of political funding.
### Key Findings and Insights
One of the standout features of this course is its focus on key findings derived from the datasets. The analysis reveals crucial timelines, such as the fact that no redemptions occurred more than 15 days after the purchase date, which raises intriguing questions about the timing of these financial transactions.
The course also guides students through data merging and validation techniques, demonstrating how to create unique identifiers for datasets and clean up inconsistencies. For instance, after merging, the course highlights discrepancies where 1,680 entries in the Purchase Data did not match with Redemption Data, prompting further investigation into data integrity.
Moreover, the course identifies top purchasers and their trends over the years. Notable entities such as Future Gaming and Hotel Services and Vedanta Limited are spotlighted, alongside insights into the dominance of ₹1 crore denomination bonds. This information is crucial for understanding the financial landscape of political parties, with BJP and Trinamool Congress emerging as the top encashers.
### Practical Application
With practical exercises, learners will engage in data exploration by adding new columns for enhanced analysis and employing crosstab analysis to evaluate purchase trends against political party denomination sums. This hands-on approach not only reinforces theoretical concepts but also equips students with real-world data analysis skills, making them more marketable in the job sector.
### Conclusion
Overall, the ‘Data Analysis Project on Electoral Bond in Python Colab’ course is a must-take for anyone interested in political finance, data analytics, or Python programming. It combines theoretical knowledge with practical application, ensuring that students leave with a thorough understanding of the subject matter. Whether you’re a beginner or someone looking to enhance your data analysis skills, this course provides the tools and insights necessary to navigate the complexities of electoral bonds in India.
I wholeheartedly recommend this course for anyone looking to deepen their understanding of data analysis in a political context. Sign up today and take the first step towards becoming proficient in data analytics with Python!
Enroll Course: https://www.udemy.com/course/rohitbasistgurjar-data-analysis-project-on-electoral-bond/