Exploratory Data Analysis With Python and Pandas

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Exploratory Data Analysis With Python and Pandas

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

Key Takeaways

Performs Exploratory Data Analysis with Python and Pandas to conduct univariate, bivariate, and correlation analysis and handle missing data

Original Description

In this 2-hour long project-based course, you will learn how to perform Exploratory Data Analysis (EDA) in Python. You will use external Python packages such as Pandas, Numpy, Matplotlib, Seaborn etc. to conduct univariate analysis, bivariate analysis, correlation analysis and identify and handle duplicate/missing data. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Data Science Institute in Tilak Nagar — AI, ML & Python Training
Learn how to analyze business data with AI, ML, and Python training at the Data Science Institute in Tilak Nagar
Medium · Data Science
📰
How to Write SQL Queries That Detect Unstable Join Filtering and Inconsistent Results
Learn to write SQL queries that detect unstable join filtering and prevent inconsistent results, improving data analysis reliability
Medium · Machine Learning
📰
How to Write SQL Queries That Detect Unstable Join Filtering and Inconsistent Results
Learn to write SQL queries that detect unstable join filtering and prevent inconsistent results, improving data analysis reliability
Medium · Data Science
📰
Fable 5 Hype: Fangirling with Datasets to Build a Lakers Dashboard
Build a sports team dashboard using datasets and AI for fun and learning
Dev.to · L. Cordero
Up next
Google Analytics Alternative For WordPress | AnalyticsWP Tutorial
Matt Tutorials
Watch →