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.
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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
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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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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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By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
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Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.