Practical Data Wrangling with Pandas

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Practical Data Wrangling with Pandas

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Analyzes life expectancy data using Pandas for data wrangling and exploratory data analysis

Original Description

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.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Database Internals: 4 Things Every Developer Should Learn Before Writing More Code
Learn database internals to improve coding efficiency and scalability
Medium · Machine Learning
 📰
Ranking Numeric Values using Power Query(.pbix included)
Learn to rank numeric values in Power Query for data analysis and comparison
Medium · Data Science
 📰
The Data Foundation for Finance Transformation at Enterprise Scale
Learn how to build a canonical finance data repository for enterprise-scale finance transformation, enabling a single source of truth for over 1M daily transactions
Medium · Data Science
 📰
Your Pipeline Is 25.4h Behind: Catching Defence Sentiment Leads with Pulsebit
Learn to use Pulsebit's News Sentiment API to catch defence sentiment leads and optimize your pipeline with real-time sentiment analysis
Dev.to · Pulsebit News Sentiment API
Up next
This could be the most perfect data frontend
Matt Williams
Watch →