- Level Beginner
- Duration 2 hours
- Course by Coursera Project Network
-
Offered by
About
In this project, we will analyze life expectancy data by performing data wrangling & exploratory data analysis (EDA). Pandas is a powerful open source data analysis tools in python. Exploratory Data Analysis (EDA) is a process of analyzing data to gain valuable insights such as statistical summary & visualizations.Modules
Your Learning Journey
1
Assignment
- Assess Your Knowledge
1
Labs
- Practical Data Wrangling with Pandas
1
Readings
- Project Overview
Auto Summary
Embark on a journey to master data wrangling with the "Practical Data Wrangling with Pandas" course offered by Coursera. This foundational course is tailored for personal development, focusing on leveraging Pandas, a robust open-source data analysis tool in Python. Throughout the course, you will engage in hands-on projects, such as analyzing life expectancy data, to perform data wrangling and exploratory data analysis (EDA). EDA encompasses techniques to extract meaningful insights through statistical summaries and visualizations. With a 120-minute duration, this course fits perfectly into your schedule, offering a comprehensive introduction for beginners. Available through the Starter subscription, it is ideal for those looking to enhance their data analysis skills and gain valuable insights from data.

Ryan Ahmed