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.
Practical Data Wrangling with Pandas
Learn, practice, and apply job-ready skills with expert guidance
Beginner level
No prior experience required
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Perform Exploratory Data Analysis (EDA) and Data Wrangling in Pandas
Perform Feature Engineering, one-hot encoding and deal with missing data
Understand the difference between normalization and standardization
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
See how employees at top companies are mastering in-demand skills
Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies
About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction and Project Overview
Import Datasets and Perform Basic Statistical Data Analysis
Practice Opportunity #1 [Optional]:
Dealing with Missing Datasets
Practice Opportunity #2 [Optional]:
Perform One Hot Encoding
Perform Data Normalization
Perform Data Standardization
Pandas with Functions
Final Capstone Project
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Instructor
Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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