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In this video on exploratory data analysis in python, we're diving into the thrilling world of Exploratory Data Analysis (EDA) using a fascinating Roller Coaster dataset. We'll leverage powerful Python libraries such as Numpy and Pandas to sort, clean, and prepare our data, followed by creating stunning visualizations to uncover hidden insights. Discover how to clean and sort the Roller Coaster dataset using Pandas, remove duplicates, and handle missing values for accurate analysis. Utilize Numpy for efficient numerical operations and array management, and employ

By the end of this video, you'll master EDA techniques using Numpy and Pandas and learn to create impactful visualizations with histograms, bar charts, KDE plots, and heat maps. Whether you're a data science enthusiast or a roller coaster aficionado, this tutorial is packed with valuable insights.

Dataset Link: https://drive.google.com/file/d/1SX7t...

00:00 introduction to EDA
01:48 EDA Demo

✅What is meant by exploratory data analysis?
Exploratory Data Analysis (EDA) is an analysis approach that identifies general patterns in the data. These patterns include outliers and features of the data that might be unexpected. EDA is an important first step in any data analysis.

✅What is EDA used for?
Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods.

✅What is data exploration analysis?
Data exploration definition: Data exploration refers to the initial step in data analysis in which data analysts use data visualization and statistical techniques to describe dataset characterizations, such as size, quantity, and accuracy, in order to better understand the nature of the data.

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➡ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning indepth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
Post Graduate Program certificate and Alumni Association membership
Exclusive hackathons and Ask me Anything sessions by IBM
8X higher live interaction in live online classes by industry experts
Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
Master Classes delivered by Purdue faculty and IBM experts
Simplilearn's JobAssist helps you get noticed by top hiring companies
Resume preparation and LinkedIn profile building
1:1 mock interview
Career accelerator webinars

✅ Skills Covered
Data Analytics
Statistical Analysis using Excel
Data Analysis Python and R
Data Visualization Tableau and Power BI
Linear and logistic regression modules
Clustering using kmeans
Supervised Learning

Learn More At: https://www.simplilearn.com/pgpdata...

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