Unemployment Analysis During COVID-19 | Data Science Internship (Task 2) | Oasis Infobyte
TASK 2: UNEMPLOYMENT ANALYSIS WITH PYTHON
Problem Statement: Unemployment is measured by the unemployment rate which is the number of people who are unemployed as a percentage of the total labour force. We have seen a sharp increase in the unemployment rate during COVID-19, so analyzing the unemployment rate can be a good data science project.
In this video, I present a Data Analysis & Visualization project I completed during my @oasisinfobyte Data Science Internship. This project explores the trends in unemployment across India during the COVID-19 pandemic.
Tools & Technologies Used:
Python
Pandas, NumPy
Matplotlib, Seaborn
Key Insights:
Unemployment rate trends over time
State-wise comparison
Impact of lockdowns on employment
Thank you for watching, and I hope this project provides valuable insights into the world of data analytics. Don’t forget to like 👍, comment 💬, and subscribe 🔔 for more Data Science project videos!
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